void createEllipse(ImagePlus imp) {
IJ.showStatus("Fitting ellipse");
Roi roi = imp.getRoi();
if (roi == null) {
noRoi("Fit Ellipse");
return;
}
if (roi.isLine()) {
IJ.error("Fit Ellipse", "\"Fit Ellipse\" does not work with line selections");
return;
}
ImageProcessor ip = imp.getProcessor();
ip.setRoi(roi);
int options = Measurements.CENTROID + Measurements.ELLIPSE;
ImageStatistics stats = ImageStatistics.getStatistics(ip, options, null);
double dx = stats.major * Math.cos(stats.angle / 180.0 * Math.PI) / 2.0;
double dy = -stats.major * Math.sin(stats.angle / 180.0 * Math.PI) / 2.0;
double x1 = stats.xCentroid - dx;
double x2 = stats.xCentroid + dx;
double y1 = stats.yCentroid - dy;
double y2 = stats.yCentroid + dy;
double aspectRatio = stats.minor / stats.major;
imp.killRoi();
imp.setRoi(new EllipseRoi(x1, y1, x2, y2, aspectRatio));
}
private void getintbright() {
weights = new float[ncurves][xpts][ypts];
for (int i = 0; i < ncurves; i++) {
nmeas[i] = 0;
for (int j = 0; j < xpts; j++) {
for (int k = 0; k < ypts; k++) {
nmeas[i] += (int) pch[i][j][k];
}
}
double tempavg = 0.0;
double tempavg2 = 0.0;
double temp2avg = 0.0;
double temp2avg2 = 0.0;
double tempccavg = 0.0;
for (int j = 0; j < xpts; j++) {
for (int k = 0; k < ypts; k++) {
double normed = (double) pch[i][j][k] / (double) nmeas[i];
if (pch[i][j][k] > 0.0f) {
weights[i][j][k] = (float) ((double) nmeas[i] / (normed * (1.0f - normed)));
} else {
weights[i][j][k] = 1.0f;
}
tempavg += normed * (double) j;
tempavg2 += normed * (double) j * (double) j;
temp2avg += normed * (double) k;
temp2avg2 += normed * (double) k * (double) k;
tempccavg += normed * (double) k * (double) j;
}
}
tempccavg -= tempavg * temp2avg;
brightcc[i] = tempccavg / Math.sqrt(tempavg * temp2avg);
tempavg2 -= tempavg * tempavg;
tempavg2 /= tempavg;
bright1[i] = (tempavg2 - 1.0);
temp2avg2 -= temp2avg * temp2avg;
temp2avg2 /= temp2avg;
bright2[i] = (temp2avg2 - 1.0);
intensity1[i] = tempavg;
intensity2[i] = temp2avg;
if (psfflag == 0) {
bright1[i] /= 0.3536;
bright2[i] /= 0.3536;
brightcc[i] /= 0.3536;
} else {
if (psfflag == 1) {
bright1[i] /= 0.078;
bright2[i] /= 0.078;
brightcc[i] /= 0.078;
} else {
bright1[i] /= 0.5;
bright2[i] /= 0.5;
brightcc[i] /= 0.5;
}
}
number1[i] = intensity1[i] / bright1[i];
number2[i] = intensity2[i] / bright2[i];
brightmincc[i] = (bright1[i] * beta) * Math.sqrt(intensity1[i] / intensity2[i]);
}
}
double rodbard(double x) {
// y = c*((a-x/(x-d))^(1/b)
// a=3.9, b=.88, c=712, d=44
double ex;
if (x == 0.0) ex = 5.0;
else ex = Math.exp(Math.log(x / 700.0) * 0.88);
double y = 3.9 - 44.0;
y = y / (1.0 + ex);
return y + 44.0;
}
int[] smooth(int[] a, int n) {
FloatProcessor fp = new FloatProcessor(n, 1);
for (int i = 0; i < n; i++) fp.putPixelValue(i, 0, a[i]);
GaussianBlur gb = new GaussianBlur();
gb.blur1Direction(fp, 2.0, 0.01, true, 0);
for (int i = 0; i < n; i++) a[i] = (int) Math.round(fp.getPixelValue(i, 0));
return a;
}
void Contrast(ImagePlus imp, int radius, double par1, double par2, boolean doIwhite) {
// G. Landini, 2013
// Based on a simple contrast toggle. This procedure does not have user-provided paramters other
// than the kernel radius
// Sets the pixel value to either white or black depending on whether its current value is
// closest to the local Max or Min respectively
// The procedure is similar to Toggle Contrast Enhancement (see Soille, Morphological Image
// Analysis (2004), p. 259
ImagePlus Maximp, Minimp;
ImageProcessor ip = imp.getProcessor(), ipMax, ipMin;
int c_value = 0;
int mid_gray;
byte object;
byte backg;
if (doIwhite) {
object = (byte) 0xff;
backg = (byte) 0;
} else {
object = (byte) 0;
backg = (byte) 0xff;
}
Maximp = duplicateImage(ip);
ipMax = Maximp.getProcessor();
RankFilters rf = new RankFilters();
rf.rank(ipMax, radius, rf.MAX); // Maximum
// Maximp.show();
Minimp = duplicateImage(ip);
ipMin = Minimp.getProcessor();
rf.rank(ipMin, radius, rf.MIN); // Minimum
// Minimp.show();
byte[] pixels = (byte[]) ip.getPixels();
byte[] max = (byte[]) ipMax.getPixels();
byte[] min = (byte[]) ipMin.getPixels();
for (int i = 0; i < pixels.length; i++) {
pixels[i] =
((Math.abs((int) (max[i] & 0xff - pixels[i] & 0xff))
<= Math.abs((int) (pixels[i] & 0xff - min[i] & 0xff))))
? object
: backg;
}
// imp.updateAndDraw();
return;
}
/*------------------------------------------------------------------*/
double getInitialCausalCoefficientMirrorOnBounds(double[] c, double z, double tolerance) {
double z1 = z, zn = Math.pow(z, c.length - 1);
double sum = c[0] + zn * c[c.length - 1];
int horizon = c.length;
if (0.0 < tolerance) {
horizon = 2 + (int) (Math.log(tolerance) / Math.log(Math.abs(z)));
horizon = (horizon < c.length) ? (horizon) : (c.length);
}
zn = zn * zn;
for (int n = 1; (n < (horizon - 1)); n++) {
zn = zn / z;
sum = sum + (z1 + zn) * c[n];
z1 = z1 * z;
}
return (sum / (1.0 - Math.pow(z, 2 * c.length - 2)));
} /* end getInitialCausalCoefficientMirrorOnBounds */
public void drop(DropTargetDropEvent dtde) {
dtde.acceptDrop(DnDConstants.ACTION_COPY);
DataFlavor[] flavors = null;
try {
Transferable t = dtde.getTransferable();
iterator = null;
flavors = t.getTransferDataFlavors();
if (IJ.debugMode) IJ.log("DragAndDrop.drop: " + flavors.length + " flavors");
for (int i = 0; i < flavors.length; i++) {
if (IJ.debugMode) IJ.log(" flavor[" + i + "]: " + flavors[i].getMimeType());
if (flavors[i].isFlavorJavaFileListType()) {
Object data = t.getTransferData(DataFlavor.javaFileListFlavor);
iterator = ((List) data).iterator();
break;
} else if (flavors[i].isFlavorTextType()) {
Object ob = t.getTransferData(flavors[i]);
if (!(ob instanceof String)) continue;
String s = ob.toString().trim();
if (IJ.isLinux() && s.length() > 1 && (int) s.charAt(1) == 0) s = fixLinuxString(s);
ArrayList list = new ArrayList();
if (s.indexOf("href=\"") != -1 || s.indexOf("src=\"") != -1) {
s = parseHTML(s);
if (IJ.debugMode) IJ.log(" url: " + s);
list.add(s);
this.iterator = list.iterator();
break;
}
BufferedReader br = new BufferedReader(new StringReader(s));
String tmp;
while (null != (tmp = br.readLine())) {
tmp = java.net.URLDecoder.decode(tmp.replaceAll("\\+", "%2b"), "UTF-8");
if (tmp.startsWith("file://")) tmp = tmp.substring(7);
if (IJ.debugMode) IJ.log(" content: " + tmp);
if (tmp.startsWith("http://")) list.add(s);
else list.add(new File(tmp));
}
this.iterator = list.iterator();
break;
}
}
if (iterator != null) {
Thread thread = new Thread(this, "DrawAndDrop");
thread.setPriority(Math.max(thread.getPriority() - 1, Thread.MIN_PRIORITY));
thread.start();
}
} catch (Exception e) {
dtde.dropComplete(false);
return;
}
dtde.dropComplete(true);
if (flavors == null || flavors.length == 0) {
if (IJ.isMacOSX())
IJ.error(
"First drag and drop ignored. Please try again. You can avoid this\n"
+ "problem by dragging to the toolbar instead of the status bar.");
else IJ.error("Drag and drop failed");
}
}
PolygonRoi trimPolygon(PolygonRoi roi, double length) {
int[] x = roi.getXCoordinates();
int[] y = roi.getYCoordinates();
int n = roi.getNCoordinates();
x = smooth(x, n);
y = smooth(y, n);
float[] curvature = getCurvature(x, y, n);
Rectangle r = roi.getBounds();
double threshold = rodbard(length);
// IJ.log("trim: "+length+" "+threshold);
double distance = Math.sqrt((x[1] - x[0]) * (x[1] - x[0]) + (y[1] - y[0]) * (y[1] - y[0]));
x[0] += r.x;
y[0] += r.y;
int i2 = 1;
int x1, y1, x2 = 0, y2 = 0;
for (int i = 1; i < n - 1; i++) {
x1 = x[i];
y1 = y[i];
x2 = x[i + 1];
y2 = y[i + 1];
distance += Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1)) + 1;
distance += curvature[i] * 2;
if (distance >= threshold) {
x[i2] = x2 + r.x;
y[i2] = y2 + r.y;
i2++;
distance = 0.0;
}
}
int type = roi.getType() == Roi.FREELINE ? Roi.POLYLINE : Roi.POLYGON;
if (type == Roi.POLYLINE && distance > 0.0) {
x[i2] = x2 + r.x;
y[i2] = y2 + r.y;
i2++;
}
PolygonRoi p = new PolygonRoi(x, y, i2, type);
if (roi.getStroke() != null) p.setStrokeWidth(roi.getStrokeWidth());
p.setStrokeColor(roi.getStrokeColor());
p.setName(roi.getName());
imp.setRoi(p);
return p;
}
public void postProcess() {
double stdDev;
double n = num;
for (int i = 0; i < len; i++) {
if (num > 1) {
stdDev = (n * sum2[i] - sum[i] * sum[i]) / n;
if (stdDev > 0.0) result[i] = (float) Math.sqrt(stdDev / (n - 1.0));
else result[i] = 0f;
} else result[i] = 0f;
}
}
public void run(String arg) {
int[] wList = WindowManager.getIDList();
if (wList == null) {
IJ.error("No images are open.");
return;
}
double thalf = 0.5;
boolean keep;
GenericDialog gd = new GenericDialog("Bleach correction");
gd.addNumericField("t½:", thalf, 1);
gd.addCheckbox("Keep source stack:", true);
gd.showDialog();
if (gd.wasCanceled()) return;
long start = System.currentTimeMillis();
thalf = gd.getNextNumber();
keep = gd.getNextBoolean();
if (keep) IJ.run("Duplicate...", "title='Bleach corrected' duplicate");
ImagePlus imp1 = WindowManager.getCurrentImage();
int d1 = imp1.getStackSize();
double v1, v2;
int width = imp1.getWidth();
int height = imp1.getHeight();
ImageProcessor ip1, ip2, ip3;
int slices = imp1.getStackSize();
ImageStack stack1 = imp1.getStack();
ImageStack stack2 = imp1.getStack();
int currentSlice = imp1.getCurrentSlice();
for (int n = 1; n <= slices; n++) {
ip1 = stack1.getProcessor(n);
ip3 = stack1.getProcessor(1);
ip2 = stack2.getProcessor(n);
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
v1 = ip1.getPixelValue(x, y);
v2 = ip3.getPixelValue(x, y);
// =B8/(EXP(-C$7*A8))
v1 = (v1 / Math.exp(-n * thalf));
ip2.putPixelValue(x, y, v1);
}
}
IJ.showProgress((double) n / slices);
IJ.showStatus(n + "/" + slices);
}
// stack2.show();
imp1.updateAndDraw();
}
PolygonRoi trimFloatPolygon(PolygonRoi roi, double length) {
FloatPolygon poly = roi.getFloatPolygon();
float[] x = poly.xpoints;
float[] y = poly.ypoints;
int n = poly.npoints;
x = smooth(x, n);
y = smooth(y, n);
float[] curvature = getCurvature(x, y, n);
double threshold = rodbard(length);
// IJ.log("trim: "+length+" "+threshold);
double distance = Math.sqrt((x[1] - x[0]) * (x[1] - x[0]) + (y[1] - y[0]) * (y[1] - y[0]));
int i2 = 1;
double x1, y1, x2 = 0, y2 = 0;
for (int i = 1; i < n - 1; i++) {
x1 = x[i];
y1 = y[i];
x2 = x[i + 1];
y2 = y[i + 1];
distance += Math.sqrt((x2 - x1) * (x2 - x1) + (y2 - y1) * (y2 - y1)) + 1;
distance += curvature[i] * 2;
if (distance >= threshold) {
x[i2] = (float) x2;
y[i2] = (float) y2;
i2++;
distance = 0.0;
}
}
int type = roi.getType() == Roi.FREELINE ? Roi.POLYLINE : Roi.POLYGON;
if (type == Roi.POLYLINE && distance > 0.0) {
x[i2] = (float) x2;
y[i2] = (float) y2;
i2++;
}
PolygonRoi p = new PolygonRoi(x, y, i2, type);
if (roi.getStroke() != null) p.setStrokeWidth(roi.getStrokeWidth());
p.setStrokeColor(roi.getStrokeColor());
p.setDrawOffset(roi.getDrawOffset());
p.setName(roi.getName());
imp.setRoi(p);
return p;
}
/* Extracts indexes of first and last indexes of stim imp that match response imp*/
private int[] getFirstNLast(ImagePlus imp, String userInput) {
String stackTitle = "Substack (" + userInput + ")";
if (stackTitle.length() > 25) {
int idxA = stackTitle.indexOf(",", 18);
int idxB = stackTitle.lastIndexOf(",");
if (idxA >= 1 && idxB >= 1) {
String strA = stackTitle.substring(0, idxA);
String strB = stackTitle.substring(idxB + 1);
stackTitle = strA + ", ... " + strB;
}
}
int[] out = new int[2];
try {
int idx1 = userInput.indexOf("-");
if (idx1 >= 1) { // input displayed in range
String rngStart = userInput.substring(0, idx1);
String rngEnd = userInput.substring(idx1 + 1);
Integer obj = new Integer(rngStart);
int first = 1 + (obj.intValue() - 1) * Math.round((float) (this.dt_r / this.DT_S));
int inc = 1;
int idx2 = rngEnd.indexOf("-");
if (idx2 >= 1) {
String rngEndAndInc = rngEnd;
rngEnd = rngEndAndInc.substring(0, idx2);
String rngInc = rngEndAndInc.substring(idx2 + 1);
obj = new Integer(rngInc);
inc = 1 + (obj.intValue() - 1) * Math.round((float) (this.dt_r / this.DT_S));
}
obj = new Integer(rngEnd);
int last = (obj.intValue()) * Math.round((float) (this.dt_r / this.DT_S));
out[0] = first;
out[1] = last;
} else {
throw new Exception();
}
} catch (Exception e) {
IJ.error("Substack Maker", "Invalid input string: \n \n \"" + userInput + "\"");
}
return out;
}
void addSelection() {
ImagePlus imp = IJ.getImage();
String macroOptions = Macro.getOptions();
if (macroOptions != null && IJ.macroRunning() && macroOptions.indexOf("remove") != -1) {
imp.setOverlay(null);
return;
}
Roi roi = imp.getRoi();
if (roi == null && imp.getOverlay() != null) {
GenericDialog gd = new GenericDialog("No Selection");
gd.addMessage("\"Overlay>Add\" requires a selection.");
gd.setInsets(15, 40, 0);
gd.addCheckbox("Remove existing overlay", false);
gd.showDialog();
if (gd.wasCanceled()) return;
if (gd.getNextBoolean()) imp.setOverlay(null);
return;
}
if (roi == null) {
IJ.error("This command requires a selection.");
return;
}
roi = (Roi) roi.clone();
if (roi.getStrokeColor() == null) roi.setStrokeColor(Toolbar.getForegroundColor());
int width = Line.getWidth();
Rectangle bounds = roi.getBounds();
boolean tooWide = width > Math.max(bounds.width, bounds.height) / 3.0;
if (roi.getStroke() == null && width > 1 && !tooWide) roi.setStrokeWidth(Line.getWidth());
Overlay overlay = imp.getOverlay();
if (overlay != null && overlay.size() > 0 && !roi.isDrawingTool()) {
Roi roi2 = overlay.get(overlay.size() - 1);
if (roi.getStroke() == null) roi.setStrokeWidth(roi2.getStrokeWidth());
if (roi.getFillColor() == null) roi.setFillColor(roi2.getFillColor());
}
boolean points = roi instanceof PointRoi && ((PolygonRoi) roi).getNCoordinates() > 1;
if (points) roi.setStrokeColor(Color.red);
if (!IJ.altKeyDown() && !(roi instanceof Arrow)) {
RoiProperties rp = new RoiProperties("Add to Overlay", roi);
if (!rp.showDialog()) return;
}
String name = roi.getName();
boolean newOverlay = name != null && name.equals("new-overlay");
if (overlay == null || newOverlay) overlay = new Overlay();
overlay.add(roi);
imp.setOverlay(overlay);
overlay2 = overlay;
if (points || (roi instanceof ImageRoi) || (roi instanceof Arrow)) imp.killRoi();
Undo.setup(Undo.OVERLAY_ADDITION, imp);
}
float[] getCurvature(float[] x, float[] y, int n) {
float[] x2 = new float[n];
float[] y2 = new float[n];
for (int i = 0; i < n; i++) {
x2[i] = x[i];
y2[i] = y[i];
}
ImageProcessor ipx = new FloatProcessor(n, 1, x, null);
ImageProcessor ipy = new FloatProcessor(n, 1, y, null);
ipx.convolve(kernel, kernel.length, 1);
ipy.convolve(kernel, kernel.length, 1);
float[] indexes = new float[n];
float[] curvature = new float[n];
for (int i = 0; i < n; i++) {
indexes[i] = i;
curvature[i] =
(float) Math.sqrt((x2[i] - x[i]) * (x2[i] - x[i]) + (y2[i] - y[i]) * (y2[i] - y[i]));
}
return curvature;
}
/*------------------------------------------------------------------*/
void getSplineInterpolationCoefficients(double[] c, double tolerance) {
double z[] = {Math.sqrt(3.0) - 2.0};
double lambda = 1.0;
if (c.length == 1) {
return;
}
for (int k = 0; (k < z.length); k++) {
lambda = lambda * (1.0 - z[k]) * (1.0 - 1.0 / z[k]);
}
for (int n = 0; (n < c.length); n++) {
c[n] = c[n] * lambda;
}
for (int k = 0; (k < z.length); k++) {
c[0] = getInitialCausalCoefficientMirrorOnBounds(c, z[k], tolerance);
for (int n = 1; (n < c.length); n++) {
c[n] = c[n] + z[k] * c[n - 1];
}
c[c.length - 1] = getInitialAntiCausalCoefficientMirrorOnBounds(c, z[k], tolerance);
for (int n = c.length - 2; (0 <= n); n--) {
c[n] = z[k] * (c[n + 1] - c[n]);
}
}
} /* end getSplineInterpolationCoefficients */
public boolean dialogItemChanged(GenericDialog gd, AWTEvent e) {
int width = imp.getWidth();
int height = imp.getHeight();
type = gd.getNextChoice();
areaPerPoint = gd.getNextNumber();
color = gd.getNextChoice();
randomOffset = gd.getNextBoolean();
double minArea = (width * height) / 50000.0;
if (type.equals(types[1]) && minArea < 144.0) minArea = 144.0;
else if (minArea < 16) minArea = 16.0;
if (areaPerPoint / (pixelWidth * pixelHeight) < minArea) {
String err = "\"Area per Point\" too small";
if (gd.wasOKed()) IJ.error("Grid", err);
else IJ.showStatus(err);
return true;
}
double tileSize = Math.sqrt(areaPerPoint);
tileWidth = tileSize / pixelWidth;
tileHeight = tileSize / pixelHeight;
if (randomOffset) {
xstart = (int) (random.nextDouble() * tileWidth);
ystart = (int) (random.nextDouble() * tileHeight);
} else {
xstart = (int) (tileWidth / 2.0 + 0.5);
ystart = (int) (tileHeight / 2.0 + 0.5);
}
linesV = (int) ((width - xstart) / tileWidth) + 1;
linesH = (int) ((height - ystart) / tileHeight) + 1;
if (gd.invalidNumber()) return true;
if (type.equals(types[0])) drawLines();
else if (type.equals(types[1])) drawCrosses();
else if (type.equals(types[2])) drawPoints();
else showGrid(null);
return true;
}
ImagePlus doMedianProjection() {
IJ.showStatus("Calculating median...");
ImageStack stack = imp.getStack();
ImageProcessor[] slices = new ImageProcessor[sliceCount];
int index = 0;
for (int slice = startSlice; slice <= stopSlice; slice += increment)
slices[index++] = stack.getProcessor(slice);
ImageProcessor ip2 = slices[0].duplicate();
ip2 = ip2.convertToFloat();
float[] values = new float[sliceCount];
int width = ip2.getWidth();
int height = ip2.getHeight();
int inc = Math.max(height / 30, 1);
for (int y = 0; y < height; y++) {
if (y % inc == 0) IJ.showProgress(y, height - 1);
for (int x = 0; x < width; x++) {
for (int i = 0; i < sliceCount; i++) values[i] = slices[i].getPixelValue(x, y);
ip2.putPixelValue(x, y, median(values));
}
}
if (imp.getBitDepth() == 8) ip2 = ip2.convertToByte(false);
IJ.showProgress(1, 1);
return new ImagePlus(makeTitle(), ip2);
}
/*
if selection is closed shape, create a circle with the same area and centroid, otherwise use<br>
the Pratt method to fit a circle to the points that define the line or multi-point selection.<br>
Reference: Pratt V., Direct least-squares fitting of algebraic surfaces", Computer Graphics, Vol. 21, pages 145-152 (1987).<br>
Original code: Nikolai Chernov's MATLAB script for Newton-based Pratt fit.<br>
(http://www.math.uab.edu/~chernov/cl/MATLABcircle.html)<br>
Java version: https://github.com/mdoube/BoneJ/blob/master/src/org/doube/geometry/FitCircle.java<br>
@authors Nikolai Chernov, Michael Doube, Ved Sharma
*/
void fitCircle(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null) {
noRoi("Fit Circle");
return;
}
if (roi.isArea()) { // create circle with the same area and centroid
ImageProcessor ip = imp.getProcessor();
ip.setRoi(roi);
ImageStatistics stats =
ImageStatistics.getStatistics(ip, Measurements.AREA + Measurements.CENTROID, null);
double r = Math.sqrt(stats.pixelCount / Math.PI);
imp.killRoi();
int d = (int) Math.round(2.0 * r);
IJ.makeOval(
(int) Math.round(stats.xCentroid - r), (int) Math.round(stats.yCentroid - r), d, d);
return;
}
Polygon poly = roi.getPolygon();
int n = poly.npoints;
int[] x = poly.xpoints;
int[] y = poly.ypoints;
if (n < 3) {
IJ.error("Fit Circle", "At least 3 points are required to fit a circle.");
return;
}
// calculate point centroid
double sumx = 0, sumy = 0;
for (int i = 0; i < n; i++) {
sumx = sumx + poly.xpoints[i];
sumy = sumy + poly.ypoints[i];
}
double meanx = sumx / n;
double meany = sumy / n;
// calculate moments
double[] X = new double[n], Y = new double[n];
double Mxx = 0, Myy = 0, Mxy = 0, Mxz = 0, Myz = 0, Mzz = 0;
for (int i = 0; i < n; i++) {
X[i] = x[i] - meanx;
Y[i] = y[i] - meany;
double Zi = X[i] * X[i] + Y[i] * Y[i];
Mxy = Mxy + X[i] * Y[i];
Mxx = Mxx + X[i] * X[i];
Myy = Myy + Y[i] * Y[i];
Mxz = Mxz + X[i] * Zi;
Myz = Myz + Y[i] * Zi;
Mzz = Mzz + Zi * Zi;
}
Mxx = Mxx / n;
Myy = Myy / n;
Mxy = Mxy / n;
Mxz = Mxz / n;
Myz = Myz / n;
Mzz = Mzz / n;
// calculate the coefficients of the characteristic polynomial
double Mz = Mxx + Myy;
double Cov_xy = Mxx * Myy - Mxy * Mxy;
double Mxz2 = Mxz * Mxz;
double Myz2 = Myz * Myz;
double A2 = 4 * Cov_xy - 3 * Mz * Mz - Mzz;
double A1 = Mzz * Mz + 4 * Cov_xy * Mz - Mxz2 - Myz2 - Mz * Mz * Mz;
double A0 = Mxz2 * Myy + Myz2 * Mxx - Mzz * Cov_xy - 2 * Mxz * Myz * Mxy + Mz * Mz * Cov_xy;
double A22 = A2 + A2;
double epsilon = 1e-12;
double ynew = 1e+20;
int IterMax = 20;
double xnew = 0;
int iterations = 0;
// Newton's method starting at x=0
for (int iter = 1; iter <= IterMax; iter++) {
iterations = iter;
double yold = ynew;
ynew = A0 + xnew * (A1 + xnew * (A2 + 4. * xnew * xnew));
if (Math.abs(ynew) > Math.abs(yold)) {
if (IJ.debugMode) IJ.log("Fit Circle: wrong direction: |ynew| > |yold|");
xnew = 0;
break;
}
double Dy = A1 + xnew * (A22 + 16 * xnew * xnew);
double xold = xnew;
xnew = xold - ynew / Dy;
if (Math.abs((xnew - xold) / xnew) < epsilon) break;
if (iter >= IterMax) {
if (IJ.debugMode) IJ.log("Fit Circle: will not converge");
xnew = 0;
}
if (xnew < 0) {
if (IJ.debugMode) IJ.log("Fit Circle: negative root: x = " + xnew);
xnew = 0;
}
}
if (IJ.debugMode)
IJ.log("Fit Circle: n=" + n + ", xnew=" + IJ.d2s(xnew, 2) + ", iterations=" + iterations);
// calculate the circle parameters
double DET = xnew * xnew - xnew * Mz + Cov_xy;
double CenterX = (Mxz * (Myy - xnew) - Myz * Mxy) / (2 * DET);
double CenterY = (Myz * (Mxx - xnew) - Mxz * Mxy) / (2 * DET);
double radius = Math.sqrt(CenterX * CenterX + CenterY * CenterY + Mz + 2 * xnew);
if (Double.isNaN(radius)) {
IJ.error("Fit Circle", "Points are collinear.");
return;
}
CenterX = CenterX + meanx;
CenterY = CenterY + meany;
imp.killRoi();
IJ.makeOval(
(int) Math.round(CenterX - radius),
(int) Math.round(CenterY - radius),
(int) Math.round(2 * radius),
(int) Math.round(2 * radius));
}
private boolean track(
ImagePlus siPlus, ArrayList<Point2D.Double> xyPoints, ArrayList<Double> timePoints) {
GaussianFit gs = new GaussianFit(shape_, fitMode_);
double cPCF = photonConversionFactor_ / gain_;
// for now, take the active ImageJ image
// (this should be an image of a difraction limited spot)
Roi originalRoi = siPlus.getRoi();
if (null == originalRoi) {
if (!silent_) IJ.error("Please draw a Roi around the spot you want to track");
return false;
}
Polygon pol = FindLocalMaxima.FindMax(siPlus, halfSize_, noiseTolerance_, preFilterType_);
if (pol.npoints == 0) {
if (!silent_) ReportingUtils.showError("No local maxima found in ROI");
else ReportingUtils.logError("No local maxima found in ROI");
return false;
}
int xc = pol.xpoints[0];
int yc = pol.ypoints[0];
// not sure if needed, but look for the maximum local maximum
int max = siPlus.getProcessor().getPixel(pol.xpoints[0], pol.ypoints[0]);
if (pol.npoints > 1) {
for (int i = 1; i < pol.npoints; i++) {
if (siPlus.getProcessor().getPixel(pol.xpoints[i], pol.ypoints[i]) > max) {
max = siPlus.getProcessor().getPixel(pol.xpoints[i], pol.ypoints[i]);
xc = pol.xpoints[i];
yc = pol.ypoints[i];
}
}
}
long startTime = System.nanoTime();
// This is confusing. We like to accomodate stacks with multiple slices
// and stacks with multiple frames (which is actually the correct way
int ch = siPlus.getChannel();
Boolean useSlices = siPlus.getNSlices() > siPlus.getNFrames();
int n = siPlus.getSlice();
int nMax = siPlus.getNSlices();
if (!useSlices) {
n = siPlus.getFrame();
nMax = siPlus.getNFrames();
}
boolean stop = false;
int missedFrames = 0;
int size = 2 * halfSize_;
for (int i = n; i <= nMax && !stop; i++) {
SpotData spot;
// Give user feedback
ij.IJ.showStatus("Tracking...");
ij.IJ.showProgress(i, nMax);
// Search in next slice in same Roi for local maximum
Roi searchRoi = new Roi(xc - size, yc - size, 2 * size + 1, 2 * size + 1);
if (useSlices) {
siPlus.setSliceWithoutUpdate(siPlus.getStackIndex(ch, i, 1));
} else {
siPlus.setSliceWithoutUpdate(siPlus.getStackIndex(ch, 1, i));
}
siPlus.setRoi(searchRoi, false);
// Find maximum in Roi, might not be needed....
pol = FindLocalMaxima.FindMax(siPlus, 2 * halfSize_, noiseTolerance_, preFilterType_);
// do not stray more than 2 pixels in x or y.
// This velocity maximum parameter should be tunable by the user
if (pol.npoints >= 1) {
if (Math.abs(xc - pol.xpoints[0]) < 2 && Math.abs(yc - pol.ypoints[0]) < 2) {
xc = pol.xpoints[0];
yc = pol.ypoints[0];
}
}
// Reset ROI to the original
if (i == n) {
firstX_ = xc;
firstY_ = yc;
}
// Set Roi for fitting centered around maximum
Roi spotRoi = new Roi(xc - halfSize_, yc - halfSize_, 2 * halfSize_, 2 * halfSize_);
siPlus.setRoi(spotRoi, false);
ImageProcessor ip;
try {
if (siPlus.getRoi() != spotRoi) {
ReportingUtils.logError(
"There seems to be a thread synchronization issue going on that causes this weirdness");
}
ip = siPlus.getProcessor().crop();
} catch (ArrayIndexOutOfBoundsException aex) {
ReportingUtils.logError(aex, "ImageJ failed to crop the image, not sure why");
siPlus.setRoi(spotRoi, true);
ip = siPlus.getProcessor().crop();
}
spot = new SpotData(ip, ch, 1, i, 1, i, xc, yc);
double[] paramsOut = gs.dogaussianfit(ip, maxIterations_);
double sx;
double sy;
double a = 1.0;
double theta = 0.0;
if (paramsOut.length >= 4) {
// anormalize the intensity from the Gaussian fit
double N =
cPCF
* paramsOut[GaussianFit.INT]
* (2 * Math.PI * paramsOut[GaussianFit.S] * paramsOut[GaussianFit.S]);
double xpc = paramsOut[GaussianFit.XC];
double ypc = paramsOut[GaussianFit.YC];
double x = (xpc - halfSize_ + xc) * pixelSize_;
double y = (ypc - halfSize_ + yc) * pixelSize_;
double s = paramsOut[GaussianFit.S] * pixelSize_;
// express background in photons after base level correction
double bgr = cPCF * (paramsOut[GaussianFit.BGR] - baseLevel_);
// calculate error using formular from Thompson et al (2002)
// (dx)2 = (s*s + (a*a/12)) / N + (8*pi*s*s*s*s * b*b) / (a*a*N*N)
double sigma =
(s * s + (pixelSize_ * pixelSize_) / 12) / N
+ (8 * Math.PI * s * s * s * s * bgr * bgr) / (pixelSize_ * pixelSize_ * N * N);
sigma = Math.sqrt(sigma);
double width = 2 * s;
if (paramsOut.length >= 6) {
sx = paramsOut[GaussianFit.S1] * pixelSize_;
sy = paramsOut[GaussianFit.S2] * pixelSize_;
a = sx / sy;
}
if (paramsOut.length >= 7) {
theta = paramsOut[GaussianFit.S3];
}
if ((!useWidthFilter_ || (width > widthMin_ && width < widthMax_))
&& (!useNrPhotonsFilter_ || (N > nrPhotonsMin_ && N < nrPhotonsMax_))) {
// If we have a good fit, update position of the box
if (xpc > 0 && xpc < (2 * halfSize_) && ypc > 0 && ypc < (2 * halfSize_)) {
xc += (int) xpc - halfSize_;
yc += (int) ypc - halfSize_;
}
spot.setData(N, bgr, x, y, 0.0, 2 * s, a, theta, sigma);
xyPoints.add(new Point2D.Double(x, y));
timePoints.add(i * timeIntervalMs_);
resultList_.add(spot);
missedFrames = 0;
} else {
missedFrames += 1;
}
} else {
missedFrames += 1;
}
if (endTrackAfterBadFrames_) {
if (missedFrames >= this.endTrackAfterNBadFrames_) {
stop = true;
}
}
}
long endTime = System.nanoTime();
double took = (endTime - startTime) / 1E6;
print("Calculation took: " + took + " milli seconds");
ij.IJ.showStatus("");
siPlus.setSlice(n);
siPlus.setRoi(originalRoi);
return true;
}
void Sauvola(ImagePlus imp, int radius, double par1, double par2, boolean doIwhite) {
// Sauvola recommends K_VALUE = 0.5 and R_VALUE = 128.
// This is a modification of Niblack's thresholding method.
// Sauvola J. and Pietaksinen M. (2000) "Adaptive Document Image Binarization"
// Pattern Recognition, 33(2): 225-236
// http://www.ee.oulu.fi/mvg/publications/show_pdf.php?ID=24
// Ported to ImageJ plugin from E Celebi's fourier_0.8 routines
// This version uses a circular local window, instead of a rectagular one
ImagePlus Meanimp, Varimp;
ImageProcessor ip = imp.getProcessor(), ipMean, ipVar;
double k_value = 0.5;
double r_value = 128;
byte object;
byte backg;
if (par1 != 0) {
IJ.log("Sauvola: changed k_value from :" + k_value + " to:" + par1);
k_value = par1;
}
if (par2 != 0) {
IJ.log("Sauvola: changed r_value from :" + r_value + " to:" + par2);
r_value = par2;
}
if (doIwhite) {
object = (byte) 0xff;
backg = (byte) 0;
} else {
object = (byte) 0;
backg = (byte) 0xff;
}
Meanimp = duplicateImage(ip);
ImageConverter ic = new ImageConverter(Meanimp);
ic.convertToGray32();
ipMean = Meanimp.getProcessor();
RankFilters rf = new RankFilters();
rf.rank(ipMean, radius, rf.MEAN); // Mean
// Meanimp.show();
Varimp = duplicateImage(ip);
ic = new ImageConverter(Varimp);
ic.convertToGray32();
ipVar = Varimp.getProcessor();
rf.rank(ipVar, radius, rf.VARIANCE); // Variance
// Varimp.show();
byte[] pixels = (byte[]) ip.getPixels();
float[] mean = (float[]) ipMean.getPixels();
float[] var = (float[]) ipVar.getPixels();
for (int i = 0; i < pixels.length; i++)
pixels[i] =
((int) (pixels[i] & 0xff)
> (int) (mean[i] * (1.0 + k_value * ((Math.sqrt(var[i]) / r_value) - 1.0))))
? object
: backg;
// imp.updateAndDraw();
return;
}
private void makeBand(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null) {
noRoi("Make Band");
return;
}
if (!roi.isArea()) {
IJ.error("Make Band", "Area selection required");
return;
}
Calibration cal = imp.getCalibration();
double pixels = bandSize;
double size = pixels * cal.pixelWidth;
int decimalPlaces = 0;
if ((int) size != size) decimalPlaces = 2;
GenericDialog gd = new GenericDialog("Make Band");
gd.addNumericField("Band Size:", size, decimalPlaces, 4, cal.getUnits());
gd.showDialog();
if (gd.wasCanceled()) return;
size = gd.getNextNumber();
if (Double.isNaN(size)) {
IJ.error("Make Band", "invalid number");
return;
}
int n = (int) Math.round(size / cal.pixelWidth);
if (n > 255) {
IJ.error("Make Band", "Cannot make bands wider that 255 pixels");
return;
}
int width = imp.getWidth();
int height = imp.getHeight();
Rectangle r = roi.getBounds();
ImageProcessor ip = roi.getMask();
if (ip == null) {
ip = new ByteProcessor(r.width, r.height);
ip.invert();
}
ImageProcessor mask = new ByteProcessor(width, height);
mask.insert(ip, r.x, r.y);
ImagePlus edm = new ImagePlus("mask", mask);
boolean saveBlackBackground = Prefs.blackBackground;
Prefs.blackBackground = false;
IJ.run(edm, "Distance Map", "");
Prefs.blackBackground = saveBlackBackground;
ip = edm.getProcessor();
ip.setThreshold(0, n, ImageProcessor.NO_LUT_UPDATE);
int xx = -1, yy = -1;
for (int x = r.x; x < r.x + r.width; x++) {
for (int y = r.y; y < r.y + r.height; y++) {
if (ip.getPixel(x, y) < n) {
xx = x;
yy = y;
break;
}
}
if (xx >= 0 || yy >= 0) break;
}
int count = IJ.doWand(edm, xx, yy, 0, null);
if (count <= 0) {
IJ.error("Make Band", "Unable to make band");
return;
}
ShapeRoi roi2 = new ShapeRoi(edm.getRoi());
if (!(roi instanceof ShapeRoi)) roi = new ShapeRoi(roi);
ShapeRoi roi1 = (ShapeRoi) roi;
roi2 = roi2.not(roi1);
imp.setRoi(roi2);
bandSize = n;
}
String n(double n) {
String s;
if (Math.round(n) == n) s = ResultsTable.d2s(n, 0);
else s = ResultsTable.d2s(n, Analyzer.getPrecision());
return "\t" + s;
}
/**
* Performs particle analysis on the specified ImagePlus and ImageProcessor. Returns false if
* there is an error.
*/
public boolean analyze(ImagePlus imp, ImageProcessor ip) {
if (this.imp == null) this.imp = imp;
showResults = (options & SHOW_RESULTS) != 0;
excludeEdgeParticles = (options & EXCLUDE_EDGE_PARTICLES) != 0;
resetCounter = (options & CLEAR_WORKSHEET) != 0;
showProgress = (options & SHOW_PROGRESS) != 0;
floodFill = (options & INCLUDE_HOLES) == 0;
recordStarts = (options & RECORD_STARTS) != 0;
addToManager = (options & ADD_TO_MANAGER) != 0;
displaySummary = (options & DISPLAY_SUMMARY) != 0;
inSituShow = (options & IN_SITU_SHOW) != 0;
outputImage = null;
ip.snapshot();
ip.setProgressBar(null);
if (Analyzer.isRedirectImage()) {
redirectImp = Analyzer.getRedirectImage(imp);
if (redirectImp == null) return false;
int depth = redirectImp.getStackSize();
if (depth > 1 && depth == imp.getStackSize()) {
ImageStack redirectStack = redirectImp.getStack();
redirectIP = redirectStack.getProcessor(imp.getCurrentSlice());
} else redirectIP = redirectImp.getProcessor();
} else if (imp.getType() == ImagePlus.COLOR_RGB) {
ImagePlus original = (ImagePlus) imp.getProperty("OriginalImage");
if (original != null
&& original.getWidth() == imp.getWidth()
&& original.getHeight() == imp.getHeight()) {
redirectImp = original;
redirectIP = original.getProcessor();
}
}
if (!setThresholdLevels(imp, ip)) return false;
width = ip.getWidth();
height = ip.getHeight();
if (!(showChoice == NOTHING || showChoice == OVERLAY_OUTLINES || showChoice == OVERLAY_MASKS)) {
blackBackground = Prefs.blackBackground && inSituShow;
if (slice == 1) outlines = new ImageStack(width, height);
if (showChoice == ROI_MASKS) drawIP = new ShortProcessor(width, height);
else drawIP = new ByteProcessor(width, height);
drawIP.setLineWidth(lineWidth);
if (showChoice == ROI_MASKS) {
} // Place holder for now...
else if (showChoice == MASKS && !blackBackground) drawIP.invertLut();
else if (showChoice == OUTLINES) {
if (!inSituShow) {
if (customLut == null) makeCustomLut();
drawIP.setColorModel(customLut);
}
drawIP.setFont(new Font("SansSerif", Font.PLAIN, fontSize));
if (fontSize > 12 && inSituShow) drawIP.setAntialiasedText(true);
}
outlines.addSlice(null, drawIP);
if (showChoice == ROI_MASKS || blackBackground) {
drawIP.setColor(Color.black);
drawIP.fill();
drawIP.setColor(Color.white);
} else {
drawIP.setColor(Color.white);
drawIP.fill();
drawIP.setColor(Color.black);
}
}
calibration = redirectImp != null ? redirectImp.getCalibration() : imp.getCalibration();
if (rt == null) {
rt = Analyzer.getResultsTable();
analyzer = new Analyzer(imp);
} else analyzer = new Analyzer(imp, measurements, rt);
if (resetCounter && slice == 1) {
if (!Analyzer.resetCounter()) return false;
}
beginningCount = Analyzer.getCounter();
byte[] pixels = null;
if (ip instanceof ByteProcessor) pixels = (byte[]) ip.getPixels();
if (r == null) {
r = ip.getRoi();
mask = ip.getMask();
if (displaySummary) {
if (mask != null) totalArea = ImageStatistics.getStatistics(ip, AREA, calibration).area;
else totalArea = r.width * calibration.pixelWidth * r.height * calibration.pixelHeight;
}
}
minX = r.x;
maxX = r.x + r.width;
minY = r.y;
maxY = r.y + r.height;
if (r.width < width || r.height < height || mask != null) {
if (!eraseOutsideRoi(ip, r, mask)) return false;
}
int offset;
double value;
int inc = Math.max(r.height / 25, 1);
int mi = 0;
ImageWindow win = imp.getWindow();
if (win != null) win.running = true;
if (measurements == 0) measurements = Analyzer.getMeasurements();
if (showChoice == ELLIPSES) measurements |= ELLIPSE;
measurements &= ~LIMIT; // ignore "Limit to Threshold"
roiNeedsImage =
(measurements & PERIMETER) != 0
|| (measurements & SHAPE_DESCRIPTORS) != 0
|| (measurements & FERET) != 0;
particleCount = 0;
wand = new Wand(ip);
pf = new PolygonFiller();
if (floodFill) {
ImageProcessor ipf = ip.duplicate();
ipf.setValue(fillColor);
ff = new FloodFiller(ipf);
}
roiType = Wand.allPoints() ? Roi.FREEROI : Roi.TRACED_ROI;
for (int y = r.y; y < (r.y + r.height); y++) {
offset = y * width;
for (int x = r.x; x < (r.x + r.width); x++) {
if (pixels != null) value = pixels[offset + x] & 255;
else if (imageType == SHORT) value = ip.getPixel(x, y);
else value = ip.getPixelValue(x, y);
if (value >= level1 && value <= level2) analyzeParticle(x, y, imp, ip);
}
if (showProgress && ((y % inc) == 0)) IJ.showProgress((double) (y - r.y) / r.height);
if (win != null) canceled = !win.running;
if (canceled) {
Macro.abort();
break;
}
}
if (showProgress) IJ.showProgress(1.0);
if (showResults) rt.updateResults();
imp.killRoi();
ip.resetRoi();
ip.reset();
if (displaySummary && IJ.getInstance() != null) updateSliceSummary();
if (addToManager && roiManager != null) roiManager.setEditMode(imp, true);
maxParticleCount = (particleCount > maxParticleCount) ? particleCount : maxParticleCount;
totalCount += particleCount;
if (!canceled) showResults();
return true;
}
public boolean get_errors(double[] params, int[] fixes) {
GenericDialog gd = new GenericDialog("Error Options");
String[] methods = {"Support Plane", "Monte Carlo"};
gd.addChoice("Method", methods, methods[0]);
float conf = 0.67f;
gd.addNumericField("SP_Confidence Limit (%)", (int) (conf * 100.0f), 5, 10, null);
String[] labels = {"P1", "P2", "P3", "P4", "P5", "P6", "P7", "P8", "P9", "P10"};
gd.addChoice("SP_Parameter", labels, labels[0]);
double spacing = 0.01;
gd.addNumericField("SP_Chi^2_plot_spacing (% of value)?", spacing * 100.0, 2, 10, null);
int ntrials = 100;
gd.addNumericField("MC_#_Trials", ntrials, 0);
gd.showDialog();
if (gd.wasCanceled()) {
return false;
}
int methodindex = gd.getNextChoiceIndex();
conf = 0.01f * (float) gd.getNextNumber();
int paramindex = gd.getNextChoiceIndex();
spacing = 0.01 * gd.getNextNumber();
ntrials = (int) gd.getNextNumber();
if (methodindex == 0) {
support_plane_errors_v2 erclass = new support_plane_errors_v2(this, 0.0001, 50, false, 0.1);
int errindex = paramindex;
int nfit = 0;
for (int i = 0; i < labels.length; i++) {
if (fixes[i] == 0) {
nfit++;
}
}
int npts = tempdata.length;
int dofnum = npts - (nfit - 1) - 1;
int dofden = npts - nfit - 1;
double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
IJ.log("FLimit = " + (float) flim);
if (flim == Double.NaN && flim < 1.0) {
IJ.showMessage("Invalid Limiting F Value");
return false;
}
double truespacing = Math.abs(params[errindex] * spacing);
double[][] c2plot =
erclass.geterrors(
params, fixes, constraints, tempdata, weights, flim, truespacing, errindex);
IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
IJ.log(
"upper error = "
+ (c2plot[1][0] - params[errindex])
+ " lower error = "
+ (params[errindex] - c2plot[0][0]));
int templength = c2plot[0].length;
float[][] c2plotf = new float[2][templength - 1];
for (int i = 0; i < (templength - 1); i++) {
c2plotf[0][i] = (float) c2plot[0][i + 1];
c2plotf[1][i] = (float) c2plot[1][i + 1];
}
new PlotWindow4("c2 plot", labels[errindex], "Chi^2", c2plotf[0], c2plotf[1]).draw();
} else {
StringBuffer sb = new StringBuffer();
sb.append("Trial\t");
for (int i = 0; i < labels.length; i++) {
if (fixes[i] == 0) sb.append(labels[i] + "\t");
}
sb.append("chi^2");
tw = new TextWindow("Monte Carlo Results", sb.toString(), "", 400, 400);
redirect = true;
monte_carlo_errors_v2 erclass = new monte_carlo_errors_v2(this, 0.0001, 50, false, 0.1);
double[][] errors = erclass.geterrors(params, fixes, constraints, tempdata, weights, ntrials);
sb = new StringBuffer();
sb.append("StDev\t");
for (int i = 0; i < errors.length; i++) {
float[] ferr = new float[errors[0].length];
for (int j = 0; j < ferr.length; j++) ferr[j] = (float) errors[i][j];
float stdev = jstatistics.getstatistic("StDev", ferr, null);
sb.append("" + stdev);
if (i < (errors.length - 1)) sb.append("\t");
}
tw.append(sb.toString());
redirect = false;
}
return true;
}
public void run(String arg) {
int[] wList = WindowManager.getIDList();
if (wList==null) {
IJ.error("No images are open.");
return;
}
double kernel=3;
double kernelsum = 0;
double kernelvarsum =0;
double kernalvar = 0;
double sigmawidth = 2;
int kernelindex, minpixnumber;
String[] kernelsize = { "3�,"5�, "7�, "9�};
GenericDialog gd = new GenericDialog("Sigma Filter");
gd.addChoice("Kernel size", kernelsize, kernelsize[0]);
gd.addNumericField("Sigma width",sigmawidth , 2);
gd.addNumericField("Minimum number of pixels", 1, 0);
gd.addCheckbox("Keep source:",true);
gd.addCheckbox("Do all stack:",true);
gd.addCheckbox("Modified Lee's FIlter:",true);
gd.showDialog();
if (gd.wasCanceled()) return ;
kernelindex = gd.getNextChoiceIndex();
sigmawidth = gd.getNextNumber();
minpixnumber = ((int)gd.getNextNumber());
boolean keep = gd.getNextBoolean();
boolean doallstack = gd.getNextBoolean();
boolean modified = gd.getNextBoolean();
if (kernelindex==0) kernel = 3;
if (kernelindex==1) kernel = 5;
if (kernelindex==2) kernel = 7;
if (kernelindex==3) kernel = 9;
long start = System.currentTimeMillis();
if (minpixnumber> (kernel*kernel)){
IJ.showMessage("Sigma filter", "There must be more pixels in the kernel than+\n" + "the minimum number to be included");
return;
}
double v, midintensity;
int x, y, ix, iy;
double sum = 0;
double backupsum =0;
int count = 0;
int n = 0;
if (keep) {IJ.run("Select All"); IJ.run("Duplicate...", "title='Sigma filtered' duplicate");}
int radius = (int)(kernel-1)/2;
ImagePlus imp = WindowManager.getCurrentImage();
ImageStack stack1 = imp.getStack();
int width = imp.getWidth();
int height = imp.getHeight();
int nslices = stack1.getSize();
int cslice = imp.getCurrentSlice();
double status = width*height*nslices;
ImageProcessor ip = imp.getProcessor();
int sstart = 1;
if (!doallstack) {sstart = cslice; nslices=sstart;status = status/nslices;};
for (int i=sstart; i<=nslices; i++) {
imp.setSlice(i);
for (x=radius;x<width+radius;x++) {
for (y=radius;y<height+radius;y++) {
midintensity = ip.getPixelValue(x,y);
count = 0;
sum = 0;
kernelsum =0;
kernalvar =0;
kernelvarsum =0;
backupsum = 0;
//calculate mean of kernel value
for (ix=0;ix<kernel;ix++) {
for (iy=0;iy<kernel;iy++) {
v = ip.getPixelValue(x+ix-radius,y+iy-radius);
kernelsum = kernelsum+v;
}
}
double sigmacalcmean = (kernelsum/(kernel*kernel));
//calculate variance of kernel
for (ix=0;ix<kernel;ix++) {
for (iy=0;iy<kernel;iy++) {
v = ip.getPixelValue(x+ix-radius,y+iy-radius);
kernalvar = (v-sigmacalcmean)*(v-sigmacalcmean);
kernelvarsum = kernelvarsum + kernalvar;
}
}
//double variance = kernelvarsum/kernel;
double sigmacalcvar = kernelvarsum/((kernel*kernel)-1);
//calcuate sigma range = sqrt(variance/(mean^2)) � sigmawidth
double sigmarange = sigmawidth*(Math.sqrt((sigmacalcvar) /(sigmacalcmean*sigmacalcmean)));
//calulate sigma top value and bottom value
double sigmatop = midintensity*(1+sigmarange);
double sigmabottom = midintensity*(1-sigmarange);
//calculate mean of values that differ are in sigma range.
for (ix=0;ix<kernel;ix++) {
for (iy=0;iy<kernel;iy++) {
v = ip.getPixelValue(x+ix-radius,y+iy-radius);
if ((v>=sigmabottom)&&(v<=sigmatop)){
sum = sum+v;
count = count+1; }
backupsum = v+ backupsum;
}
}
//if there are too few pixels in the kernal that are within sigma range, the
//mean of the entire kernal is taken. My modification of Lee's filter is to exclude the central value
//from the calculation of the mean as I assume it to be spuriously high or low
if (!(count>(minpixnumber)))
{sum = (backupsum-midintensity);
count = (int)((kernel*kernel)-1);
if (!modified)
{sum = (backupsum);
count = (int)(kernel*kernel);}
}
double val = (sum/count);
ip.putPixelValue(x,y, val);
n = n+1;
double percentage = (((double)n/status)*100);
IJ.showStatus(IJ.d2s(percentage,0) +"% done");
}
// IJ.showProgress(i, status);
}}
imp.updateAndDraw();
IJ.showStatus(IJ.d2s((System.currentTimeMillis()-start)/1000.0, 2)+" seconds"); }
String getInfo(ImagePlus imp, ImageProcessor ip) {
String s = new String("\n");
s += "Title: " + imp.getTitle() + "\n";
Calibration cal = imp.getCalibration();
int stackSize = imp.getStackSize();
int channels = imp.getNChannels();
int slices = imp.getNSlices();
int frames = imp.getNFrames();
int digits = imp.getBitDepth() == 32 ? 4 : 0;
if (cal.scaled()) {
String unit = cal.getUnit();
String units = cal.getUnits();
s +=
"Width: "
+ IJ.d2s(imp.getWidth() * cal.pixelWidth, 2)
+ " "
+ units
+ " ("
+ imp.getWidth()
+ ")\n";
s +=
"Height: "
+ IJ.d2s(imp.getHeight() * cal.pixelHeight, 2)
+ " "
+ units
+ " ("
+ imp.getHeight()
+ ")\n";
if (slices > 1)
s += "Depth: " + IJ.d2s(slices * cal.pixelDepth, 2) + " " + units + " (" + slices + ")\n";
double xResolution = 1.0 / cal.pixelWidth;
double yResolution = 1.0 / cal.pixelHeight;
int places = Tools.getDecimalPlaces(xResolution, yResolution);
if (xResolution == yResolution)
s += "Resolution: " + IJ.d2s(xResolution, places) + " pixels per " + unit + "\n";
else {
s += "X Resolution: " + IJ.d2s(xResolution, places) + " pixels per " + unit + "\n";
s += "Y Resolution: " + IJ.d2s(yResolution, places) + " pixels per " + unit + "\n";
}
} else {
s += "Width: " + imp.getWidth() + " pixels\n";
s += "Height: " + imp.getHeight() + " pixels\n";
if (stackSize > 1) s += "Depth: " + slices + " pixels\n";
}
if (stackSize > 1)
s +=
"Voxel size: "
+ d2s(cal.pixelWidth)
+ "x"
+ d2s(cal.pixelHeight)
+ "x"
+ d2s(cal.pixelDepth)
+ " "
+ cal.getUnit()
+ "\n";
else
s +=
"Pixel size: "
+ d2s(cal.pixelWidth)
+ "x"
+ d2s(cal.pixelHeight)
+ " "
+ cal.getUnit()
+ "\n";
s += "ID: " + imp.getID() + "\n";
String zOrigin = stackSize > 1 || cal.zOrigin != 0.0 ? "," + d2s(cal.zOrigin) : "";
s += "Coordinate origin: " + d2s(cal.xOrigin) + "," + d2s(cal.yOrigin) + zOrigin + "\n";
int type = imp.getType();
switch (type) {
case ImagePlus.GRAY8:
s += "Bits per pixel: 8 ";
String lut = "LUT";
if (imp.getProcessor().isColorLut()) lut = "color " + lut;
else lut = "grayscale " + lut;
if (imp.isInvertedLut()) lut = "inverting " + lut;
s += "(" + lut + ")\n";
if (imp.getNChannels() > 1) s += displayRanges(imp);
else s += "Display range: " + (int) ip.getMin() + "-" + (int) ip.getMax() + "\n";
break;
case ImagePlus.GRAY16:
case ImagePlus.GRAY32:
if (type == ImagePlus.GRAY16) {
String sign = cal.isSigned16Bit() ? "signed" : "unsigned";
s += "Bits per pixel: 16 (" + sign + ")\n";
} else s += "Bits per pixel: 32 (float)\n";
if (imp.getNChannels() > 1) s += displayRanges(imp);
else {
s += "Display range: ";
double min = ip.getMin();
double max = ip.getMax();
if (cal.calibrated()) {
min = cal.getCValue((int) min);
max = cal.getCValue((int) max);
}
s += IJ.d2s(min, digits) + " - " + IJ.d2s(max, digits) + "\n";
}
break;
case ImagePlus.COLOR_256:
s += "Bits per pixel: 8 (color LUT)\n";
break;
case ImagePlus.COLOR_RGB:
s += "Bits per pixel: 32 (RGB)\n";
break;
}
double interval = cal.frameInterval;
double fps = cal.fps;
if (stackSize > 1) {
ImageStack stack = imp.getStack();
int slice = imp.getCurrentSlice();
String number = slice + "/" + stackSize;
String label = stack.getShortSliceLabel(slice);
if (label != null && label.length() > 0) label = " (" + label + ")";
else label = "";
if (interval > 0.0 || fps != 0.0) {
s += "Frame: " + number + label + "\n";
if (fps != 0.0) {
String sRate =
Math.abs(fps - Math.round(fps)) < 0.00001 ? IJ.d2s(fps, 0) : IJ.d2s(fps, 5);
s += "Frame rate: " + sRate + " fps\n";
}
if (interval != 0.0)
s +=
"Frame interval: "
+ ((int) interval == interval ? IJ.d2s(interval, 0) : IJ.d2s(interval, 5))
+ " "
+ cal.getTimeUnit()
+ "\n";
} else s += "Image: " + number + label + "\n";
if (imp.isHyperStack()) {
if (channels > 1) s += " Channel: " + imp.getChannel() + "/" + channels + "\n";
if (slices > 1) s += " Slice: " + imp.getSlice() + "/" + slices + "\n";
if (frames > 1) s += " Frame: " + imp.getFrame() + "/" + frames + "\n";
}
if (imp.isComposite()) {
if (!imp.isHyperStack() && channels > 1) s += " Channels: " + channels + "\n";
String mode = ((CompositeImage) imp).getModeAsString();
s += " Composite mode: \"" + mode + "\"\n";
}
}
if (ip.getMinThreshold() == ImageProcessor.NO_THRESHOLD) s += "No Threshold\n";
else {
double lower = ip.getMinThreshold();
double upper = ip.getMaxThreshold();
int dp = digits;
if (cal.calibrated()) {
lower = cal.getCValue((int) lower);
upper = cal.getCValue((int) upper);
dp = cal.isSigned16Bit() ? 0 : 4;
}
s += "Threshold: " + IJ.d2s(lower, dp) + "-" + IJ.d2s(upper, dp) + "\n";
}
ImageCanvas ic = imp.getCanvas();
double mag = ic != null ? ic.getMagnification() : 1.0;
if (mag != 1.0) s += "Magnification: " + IJ.d2s(mag, 2) + "\n";
if (cal.calibrated()) {
s += " \n";
int curveFit = cal.getFunction();
s += "Calibration Function: ";
if (curveFit == Calibration.UNCALIBRATED_OD) s += "Uncalibrated OD\n";
else if (curveFit == Calibration.CUSTOM) s += "Custom lookup table\n";
else s += CurveFitter.fList[curveFit] + "\n";
double[] c = cal.getCoefficients();
if (c != null) {
s += " a: " + IJ.d2s(c[0], 6) + "\n";
s += " b: " + IJ.d2s(c[1], 6) + "\n";
if (c.length >= 3) s += " c: " + IJ.d2s(c[2], 6) + "\n";
if (c.length >= 4) s += " c: " + IJ.d2s(c[3], 6) + "\n";
if (c.length >= 5) s += " c: " + IJ.d2s(c[4], 6) + "\n";
}
s += " Unit: \"" + cal.getValueUnit() + "\"\n";
} else s += "Uncalibrated\n";
FileInfo fi = imp.getOriginalFileInfo();
if (fi != null) {
if (fi.url != null && !fi.url.equals("")) s += "URL: " + fi.url + "\n";
else if (fi.directory != null && fi.fileName != null)
s += "Path: " + fi.directory + fi.fileName + "\n";
}
ImageWindow win = imp.getWindow();
if (win != null) {
Point loc = win.getLocation();
Dimension screen = IJ.getScreenSize();
s +=
"Screen location: "
+ loc.x
+ ","
+ loc.y
+ " ("
+ screen.width
+ "x"
+ screen.height
+ ")\n";
}
Overlay overlay = imp.getOverlay();
if (overlay != null) {
String hidden = imp.getHideOverlay() ? " (hidden)" : " ";
int n = overlay.size();
String elements = n == 1 ? " element" : " elements";
s += "Overlay: " + n + elements + (imp.getHideOverlay() ? " (hidden)" : "") + "\n";
} else s += "No Overlay\n";
Roi roi = imp.getRoi();
if (roi == null) {
if (cal.calibrated()) s += " \n";
s += "No Selection\n";
} else if (roi instanceof EllipseRoi) {
s += "\nElliptical Selection\n";
double[] p = ((EllipseRoi) roi).getParams();
double dx = p[2] - p[0];
double dy = p[3] - p[1];
double major = Math.sqrt(dx * dx + dy * dy);
s += " Major: " + IJ.d2s(major, 2) + "\n";
s += " Minor: " + IJ.d2s(major * p[4], 2) + "\n";
s += " X1: " + IJ.d2s(p[0], 2) + "\n";
s += " Y1: " + IJ.d2s(p[1], 2) + "\n";
s += " X2: " + IJ.d2s(p[2], 2) + "\n";
s += " Y2: " + IJ.d2s(p[3], 2) + "\n";
s += " Aspect ratio: " + IJ.d2s(p[4], 2) + "\n";
} else {
s += " \n";
s += roi.getTypeAsString() + " Selection";
String points = null;
if (roi instanceof PointRoi) {
int npoints = ((PolygonRoi) roi).getNCoordinates();
String suffix = npoints > 1 ? "s)" : ")";
points = " (" + npoints + " point" + suffix;
}
String name = roi.getName();
if (name != null) {
s += " (\"" + name + "\")";
if (points != null) s += "\n " + points;
} else if (points != null) s += points;
s += "\n";
Rectangle r = roi.getBounds();
if (roi instanceof Line) {
Line line = (Line) roi;
s += " X1: " + IJ.d2s(line.x1d * cal.pixelWidth) + "\n";
s += " Y1: " + IJ.d2s(yy(line.y1d, imp) * cal.pixelHeight) + "\n";
s += " X2: " + IJ.d2s(line.x2d * cal.pixelWidth) + "\n";
s += " Y2: " + IJ.d2s(yy(line.y2d, imp) * cal.pixelHeight) + "\n";
} else if (cal.scaled()) {
s += " X: " + IJ.d2s(cal.getX(r.x)) + " (" + r.x + ")\n";
s += " Y: " + IJ.d2s(cal.getY(r.y, imp.getHeight())) + " (" + r.y + ")\n";
s += " Width: " + IJ.d2s(r.width * cal.pixelWidth) + " (" + r.width + ")\n";
s += " Height: " + IJ.d2s(r.height * cal.pixelHeight) + " (" + r.height + ")\n";
} else {
s += " X: " + r.x + "\n";
s += " Y: " + yy(r.y, imp) + "\n";
s += " Width: " + r.width + "\n";
s += " Height: " + r.height + "\n";
}
}
return s;
}
public void updatebeta() {
for (int i = 0; i <= ncurves; i++) {
brightmincc[i] = (bright1[i] * beta) / Math.sqrt(intensity1[i] / intensity2[i]);
eminccarray[i].setText("" + (float) brightmincc[i]);
}
}
private void updateavg() {
nmeas[ncurves] = 0;
avg = new float[xpts][ypts];
avgweights = new float[xpts][ypts];
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
for (int j = 0; j < xpts; j++) {
for (int k = 0; k < ypts; k++) {
avg[j][k] += pch[i][j][k];
nmeas[ncurves] += (int) pch[i][j][k];
}
}
}
}
double tempavg = 0.0;
double tempavg2 = 0.0;
double temp2avg = 0.0;
double temp2avg2 = 0.0;
double tempccavg = 0.0;
for (int i = 0; i < xpts; i++) {
for (int j = 0; j < ypts; j++) {
double normed = (double) avg[i][j] / (double) nmeas[ncurves];
avgweights[i][j] = (float) ((double) nmeas[ncurves] / (normed * (1.0f - normed)));
if (avg[i][j] > 0.0f) {
avgweights[i][j] = (float) ((double) nmeas[ncurves] / (normed * (1.0f - normed)));
} else {
avgweights[i][j] = 1.0f;
}
tempavg += (double) i * normed;
tempavg2 += (double) i * (double) i * normed;
temp2avg += (double) j * normed;
temp2avg2 += (double) j * (double) j * normed;
tempccavg += (double) i * (double) j * normed;
}
}
tempccavg -= tempavg * temp2avg;
brightcc[ncurves] = tempccavg / Math.sqrt(tempavg * temp2avg);
tempavg2 -= tempavg * tempavg;
tempavg2 /= tempavg;
bright1[ncurves] = (tempavg2 - 1.0);
temp2avg2 -= temp2avg * temp2avg;
temp2avg2 /= temp2avg;
bright2[ncurves] = (temp2avg2 - 1.0);
intensity1[ncurves] = tempavg;
intensity2[ncurves] = temp2avg;
if (psfflag == 0) {
bright1[ncurves] /= 0.3536;
bright2[ncurves] /= 0.3536;
brightcc[ncurves] /= 0.3536;
} else {
if (psfflag == 1) {
bright1[ncurves] /= 0.078;
bright2[ncurves] /= 0.078;
brightcc[ncurves] /= 0.078;
} else {
bright1[ncurves] /= 0.5;
bright2[ncurves] /= 0.5;
brightcc[ncurves] /= 0.5;
}
}
number1[ncurves] = intensity1[ncurves] / bright1[ncurves];
number2[ncurves] = intensity2[ncurves] / bright2[ncurves];
brightmincc[ncurves] =
(bright1[ncurves] * beta) * Math.sqrt(intensity1[ncurves] / intensity2[ncurves]);
}
public void build_bricks() {
ImagePlus imp;
ImagePlus orgimp;
ImageStack stack;
FileInfo finfo;
if (lvImgTitle.isEmpty()) return;
orgimp = WindowManager.getImage(lvImgTitle.get(0));
imp = orgimp;
finfo = imp.getFileInfo();
if (finfo == null) return;
int[] dims = imp.getDimensions();
int imageW = dims[0];
int imageH = dims[1];
int nCh = dims[2];
int imageD = dims[3];
int nFrame = dims[4];
int bdepth = imp.getBitDepth();
double xspc = finfo.pixelWidth;
double yspc = finfo.pixelHeight;
double zspc = finfo.pixelDepth;
double z_aspect = Math.max(xspc, yspc) / zspc;
int orgW = imageW;
int orgH = imageH;
int orgD = imageD;
double orgxspc = xspc;
double orgyspc = yspc;
double orgzspc = zspc;
lv = lvImgTitle.size();
if (filetype == "JPEG") {
for (int l = 0; l < lv; l++) {
if (WindowManager.getImage(lvImgTitle.get(l)).getBitDepth() != 8) {
IJ.error("A SOURCE IMAGE MUST BE 8BIT GLAYSCALE");
return;
}
}
}
// calculate levels
/* int baseXY = 256;
int baseZ = 256;
if (z_aspect < 0.5) baseZ = 128;
if (z_aspect > 2.0) baseXY = 128;
if (z_aspect >= 0.5 && z_aspect < 1.0) baseZ = (int)(baseZ*z_aspect);
if (z_aspect > 1.0 && z_aspect <= 2.0) baseXY = (int)(baseXY/z_aspect);
IJ.log("Z_aspect: " + z_aspect);
IJ.log("BaseXY: " + baseXY);
IJ.log("BaseZ: " + baseZ);
*/
int baseXY = 256;
int baseZ = 128;
int dbXY = Math.max(orgW, orgH) / baseXY;
if (Math.max(orgW, orgH) % baseXY > 0) dbXY *= 2;
int dbZ = orgD / baseZ;
if (orgD % baseZ > 0) dbZ *= 2;
lv = Math.max(log2(dbXY), log2(dbZ)) + 1;
int ww = orgW;
int hh = orgH;
int dd = orgD;
for (int l = 0; l < lv; l++) {
int bwnum = ww / baseXY;
if (ww % baseXY > 0) bwnum++;
int bhnum = hh / baseXY;
if (hh % baseXY > 0) bhnum++;
int bdnum = dd / baseZ;
if (dd % baseZ > 0) bdnum++;
if (bwnum % 2 == 0) bwnum++;
if (bhnum % 2 == 0) bhnum++;
if (bdnum % 2 == 0) bdnum++;
int bw = (bwnum <= 1) ? ww : ww / bwnum + 1 + (ww % bwnum > 0 ? 1 : 0);
int bh = (bhnum <= 1) ? hh : hh / bhnum + 1 + (hh % bhnum > 0 ? 1 : 0);
int bd = (bdnum <= 1) ? dd : dd / bdnum + 1 + (dd % bdnum > 0 ? 1 : 0);
bwlist.add(bw);
bhlist.add(bh);
bdlist.add(bd);
IJ.log("LEVEL: " + l);
IJ.log(" width: " + ww);
IJ.log(" hight: " + hh);
IJ.log(" depth: " + dd);
IJ.log(" bw: " + bw);
IJ.log(" bh: " + bh);
IJ.log(" bd: " + bd);
int xyl2 = Math.max(ww, hh) / baseXY;
if (Math.max(ww, hh) % baseXY > 0) xyl2 *= 2;
if (lv - 1 - log2(xyl2) <= l) {
ww /= 2;
hh /= 2;
}
IJ.log(" xyl2: " + (lv - 1 - log2(xyl2)));
int zl2 = dd / baseZ;
if (dd % baseZ > 0) zl2 *= 2;
if (lv - 1 - log2(zl2) <= l) dd /= 2;
IJ.log(" zl2: " + (lv - 1 - log2(zl2)));
if (l < lv - 1) {
lvImgTitle.add(lvImgTitle.get(0) + "_level" + (l + 1));
IJ.selectWindow(lvImgTitle.get(0));
IJ.run(
"Scale...",
"x=- y=- z=- width="
+ ww
+ " height="
+ hh
+ " depth="
+ dd
+ " interpolation=Bicubic average process create title="
+ lvImgTitle.get(l + 1));
}
}
for (int l = 0; l < lv; l++) {
IJ.log(lvImgTitle.get(l));
}
Document doc = newXMLDocument();
Element root = doc.createElement("BRK");
root.setAttribute("version", "1.0");
root.setAttribute("nLevel", String.valueOf(lv));
root.setAttribute("nChannel", String.valueOf(nCh));
root.setAttribute("nFrame", String.valueOf(nFrame));
doc.appendChild(root);
for (int l = 0; l < lv; l++) {
IJ.showProgress(0.0);
int[] dims2 = imp.getDimensions();
IJ.log(
"W: "
+ String.valueOf(dims2[0])
+ " H: "
+ String.valueOf(dims2[1])
+ " C: "
+ String.valueOf(dims2[2])
+ " D: "
+ String.valueOf(dims2[3])
+ " T: "
+ String.valueOf(dims2[4])
+ " b: "
+ String.valueOf(bdepth));
bw = bwlist.get(l).intValue();
bh = bhlist.get(l).intValue();
bd = bdlist.get(l).intValue();
boolean force_pow2 = false;
/* if(IsPowerOf2(bw) && IsPowerOf2(bh) && IsPowerOf2(bd)) force_pow2 = true;
if(force_pow2){
//force pow2
if(Pow2(bw) > bw) bw = Pow2(bw)/2;
if(Pow2(bh) > bh) bh = Pow2(bh)/2;
if(Pow2(bd) > bd) bd = Pow2(bd)/2;
}
if(bw > imageW) bw = (Pow2(imageW) == imageW) ? imageW : Pow2(imageW)/2;
if(bh > imageH) bh = (Pow2(imageH) == imageH) ? imageH : Pow2(imageH)/2;
if(bd > imageD) bd = (Pow2(imageD) == imageD) ? imageD : Pow2(imageD)/2;
*/
if (bw > imageW) bw = imageW;
if (bh > imageH) bh = imageH;
if (bd > imageD) bd = imageD;
if (bw <= 1 || bh <= 1 || bd <= 1) break;
if (filetype == "JPEG" && (bw < 8 || bh < 8)) break;
Element lvnode = doc.createElement("Level");
lvnode.setAttribute("lv", String.valueOf(l));
lvnode.setAttribute("imageW", String.valueOf(imageW));
lvnode.setAttribute("imageH", String.valueOf(imageH));
lvnode.setAttribute("imageD", String.valueOf(imageD));
lvnode.setAttribute("xspc", String.valueOf(xspc));
lvnode.setAttribute("yspc", String.valueOf(yspc));
lvnode.setAttribute("zspc", String.valueOf(zspc));
lvnode.setAttribute("bitDepth", String.valueOf(bdepth));
root.appendChild(lvnode);
Element brksnode = doc.createElement("Bricks");
brksnode.setAttribute("brick_baseW", String.valueOf(bw));
brksnode.setAttribute("brick_baseH", String.valueOf(bh));
brksnode.setAttribute("brick_baseD", String.valueOf(bd));
lvnode.appendChild(brksnode);
ArrayList<Brick> bricks = new ArrayList<Brick>();
int mw, mh, md, mw2, mh2, md2;
double tx0, ty0, tz0, tx1, ty1, tz1;
double bx0, by0, bz0, bx1, by1, bz1;
for (int k = 0; k < imageD; k += bd) {
if (k > 0) k--;
for (int j = 0; j < imageH; j += bh) {
if (j > 0) j--;
for (int i = 0; i < imageW; i += bw) {
if (i > 0) i--;
mw = Math.min(bw, imageW - i);
mh = Math.min(bh, imageH - j);
md = Math.min(bd, imageD - k);
if (force_pow2) {
mw2 = Pow2(mw);
mh2 = Pow2(mh);
md2 = Pow2(md);
} else {
mw2 = mw;
mh2 = mh;
md2 = md;
}
if (filetype == "JPEG") {
if (mw2 < 8) mw2 = 8;
if (mh2 < 8) mh2 = 8;
}
tx0 = i == 0 ? 0.0d : ((mw2 - mw + 0.5d) / mw2);
ty0 = j == 0 ? 0.0d : ((mh2 - mh + 0.5d) / mh2);
tz0 = k == 0 ? 0.0d : ((md2 - md + 0.5d) / md2);
tx1 = 1.0d - 0.5d / mw2;
if (mw < bw) tx1 = 1.0d;
if (imageW - i == bw) tx1 = 1.0d;
ty1 = 1.0d - 0.5d / mh2;
if (mh < bh) ty1 = 1.0d;
if (imageH - j == bh) ty1 = 1.0d;
tz1 = 1.0d - 0.5d / md2;
if (md < bd) tz1 = 1.0d;
if (imageD - k == bd) tz1 = 1.0d;
bx0 = i == 0 ? 0.0d : (i + 0.5d) / (double) imageW;
by0 = j == 0 ? 0.0d : (j + 0.5d) / (double) imageH;
bz0 = k == 0 ? 0.0d : (k + 0.5d) / (double) imageD;
bx1 = Math.min((i + bw - 0.5d) / (double) imageW, 1.0d);
if (imageW - i == bw) bx1 = 1.0d;
by1 = Math.min((j + bh - 0.5d) / (double) imageH, 1.0d);
if (imageH - j == bh) by1 = 1.0d;
bz1 = Math.min((k + bd - 0.5d) / (double) imageD, 1.0d);
if (imageD - k == bd) bz1 = 1.0d;
int x, y, z;
x = i - (mw2 - mw);
y = j - (mh2 - mh);
z = k - (md2 - md);
bricks.add(
new Brick(
x, y, z, mw2, mh2, md2, 0, 0, tx0, ty0, tz0, tx1, ty1, tz1, bx0, by0, bz0, bx1,
by1, bz1));
}
}
}
Element fsnode = doc.createElement("Files");
lvnode.appendChild(fsnode);
stack = imp.getStack();
int totalbricknum = nFrame * nCh * bricks.size();
int curbricknum = 0;
for (int f = 0; f < nFrame; f++) {
for (int ch = 0; ch < nCh; ch++) {
int sizelimit = bdsizelimit * 1024 * 1024;
int bytecount = 0;
int filecount = 0;
int pd_bufsize = Math.max(sizelimit, bw * bh * bd * bdepth / 8);
byte[] packed_data = new byte[pd_bufsize];
String base_dataname =
basename
+ "_Lv"
+ String.valueOf(l)
+ "_Ch"
+ String.valueOf(ch)
+ "_Fr"
+ String.valueOf(f);
String current_dataname = base_dataname + "_data" + filecount;
Brick b_first = bricks.get(0);
if (b_first.z_ != 0) IJ.log("warning");
int st_z = b_first.z_;
int ed_z = b_first.z_ + b_first.d_;
LinkedList<ImageProcessor> iplist = new LinkedList<ImageProcessor>();
for (int s = st_z; s < ed_z; s++)
iplist.add(stack.getProcessor(imp.getStackIndex(ch + 1, s + 1, f + 1)));
// ImagePlus test;
// ImageStack tsst;
// test = NewImage.createByteImage("test", imageW, imageH, imageD,
// NewImage.FILL_BLACK);
// tsst = test.getStack();
for (int i = 0; i < bricks.size(); i++) {
Brick b = bricks.get(i);
if (ed_z > b.z_ || st_z < b.z_ + b.d_) {
if (b.z_ > st_z) {
for (int s = 0; s < b.z_ - st_z; s++) iplist.pollFirst();
st_z = b.z_;
} else if (b.z_ < st_z) {
IJ.log("warning");
for (int s = st_z - 1; s > b.z_; s--)
iplist.addFirst(stack.getProcessor(imp.getStackIndex(ch + 1, s + 1, f + 1)));
st_z = b.z_;
}
if (b.z_ + b.d_ > ed_z) {
for (int s = ed_z; s < b.z_ + b.d_; s++)
iplist.add(stack.getProcessor(imp.getStackIndex(ch + 1, s + 1, f + 1)));
ed_z = b.z_ + b.d_;
} else if (b.z_ + b.d_ < ed_z) {
IJ.log("warning");
for (int s = 0; s < ed_z - (b.z_ + b.d_); s++) iplist.pollLast();
ed_z = b.z_ + b.d_;
}
} else {
IJ.log("warning");
iplist.clear();
st_z = b.z_;
ed_z = b.z_ + b.d_;
for (int s = st_z; s < ed_z; s++)
iplist.add(stack.getProcessor(imp.getStackIndex(ch + 1, s + 1, f + 1)));
}
if (iplist.size() != b.d_) {
IJ.log("Stack Error");
return;
}
// int zz = st_z;
int bsize = 0;
byte[] bdata = new byte[b.w_ * b.h_ * b.d_ * bdepth / 8];
Iterator<ImageProcessor> ipite = iplist.iterator();
while (ipite.hasNext()) {
// ImageProcessor tsip = tsst.getProcessor(zz+1);
ImageProcessor ip = ipite.next();
ip.setRoi(b.x_, b.y_, b.w_, b.h_);
if (bdepth == 8) {
byte[] data = (byte[]) ip.crop().getPixels();
System.arraycopy(data, 0, bdata, bsize, data.length);
bsize += data.length;
} else if (bdepth == 16) {
ByteBuffer buffer = ByteBuffer.allocate(b.w_ * b.h_ * bdepth / 8);
buffer.order(ByteOrder.LITTLE_ENDIAN);
short[] data = (short[]) ip.crop().getPixels();
for (short e : data) buffer.putShort(e);
System.arraycopy(buffer.array(), 0, bdata, bsize, buffer.array().length);
bsize += buffer.array().length;
} else if (bdepth == 32) {
ByteBuffer buffer = ByteBuffer.allocate(b.w_ * b.h_ * bdepth / 8);
buffer.order(ByteOrder.LITTLE_ENDIAN);
float[] data = (float[]) ip.crop().getPixels();
for (float e : data) buffer.putFloat(e);
System.arraycopy(buffer.array(), 0, bdata, bsize, buffer.array().length);
bsize += buffer.array().length;
}
}
String filename =
basename
+ "_Lv"
+ String.valueOf(l)
+ "_Ch"
+ String.valueOf(ch)
+ "_Fr"
+ String.valueOf(f)
+ "_ID"
+ String.valueOf(i);
int offset = bytecount;
int datasize = bdata.length;
if (filetype == "RAW") {
int dummy = -1;
// do nothing
}
if (filetype == "JPEG" && bdepth == 8) {
try {
DataBufferByte db = new DataBufferByte(bdata, datasize);
Raster raster = Raster.createPackedRaster(db, b.w_, b.h_ * b.d_, 8, null);
BufferedImage img =
new BufferedImage(b.w_, b.h_ * b.d_, BufferedImage.TYPE_BYTE_GRAY);
img.setData(raster);
ByteArrayOutputStream baos = new ByteArrayOutputStream();
ImageOutputStream ios = ImageIO.createImageOutputStream(baos);
String format = "jpg";
Iterator<javax.imageio.ImageWriter> iter =
ImageIO.getImageWritersByFormatName("jpeg");
javax.imageio.ImageWriter writer = iter.next();
ImageWriteParam iwp = writer.getDefaultWriteParam();
iwp.setCompressionMode(ImageWriteParam.MODE_EXPLICIT);
iwp.setCompressionQuality((float) jpeg_quality * 0.01f);
writer.setOutput(ios);
writer.write(null, new IIOImage(img, null, null), iwp);
// ImageIO.write(img, format, baos);
bdata = baos.toByteArray();
datasize = bdata.length;
} catch (IOException e) {
e.printStackTrace();
return;
}
}
if (filetype == "ZLIB") {
byte[] tmpdata = new byte[b.w_ * b.h_ * b.d_ * bdepth / 8];
Deflater compresser = new Deflater();
compresser.setInput(bdata);
compresser.setLevel(Deflater.DEFAULT_COMPRESSION);
compresser.setStrategy(Deflater.DEFAULT_STRATEGY);
compresser.finish();
datasize = compresser.deflate(tmpdata);
bdata = tmpdata;
compresser.end();
}
if (bytecount + datasize > sizelimit && bytecount > 0) {
BufferedOutputStream fis = null;
try {
File file = new File(directory + current_dataname);
fis = new BufferedOutputStream(new FileOutputStream(file));
fis.write(packed_data, 0, bytecount);
} catch (IOException e) {
e.printStackTrace();
return;
} finally {
try {
if (fis != null) fis.close();
} catch (IOException e) {
e.printStackTrace();
return;
}
}
filecount++;
current_dataname = base_dataname + "_data" + filecount;
bytecount = 0;
offset = 0;
System.arraycopy(bdata, 0, packed_data, bytecount, datasize);
bytecount += datasize;
} else {
System.arraycopy(bdata, 0, packed_data, bytecount, datasize);
bytecount += datasize;
}
Element filenode = doc.createElement("File");
filenode.setAttribute("filename", current_dataname);
filenode.setAttribute("channel", String.valueOf(ch));
filenode.setAttribute("frame", String.valueOf(f));
filenode.setAttribute("brickID", String.valueOf(i));
filenode.setAttribute("offset", String.valueOf(offset));
filenode.setAttribute("datasize", String.valueOf(datasize));
filenode.setAttribute("filetype", String.valueOf(filetype));
fsnode.appendChild(filenode);
curbricknum++;
IJ.showProgress((double) (curbricknum) / (double) (totalbricknum));
}
if (bytecount > 0) {
BufferedOutputStream fis = null;
try {
File file = new File(directory + current_dataname);
fis = new BufferedOutputStream(new FileOutputStream(file));
fis.write(packed_data, 0, bytecount);
} catch (IOException e) {
e.printStackTrace();
return;
} finally {
try {
if (fis != null) fis.close();
} catch (IOException e) {
e.printStackTrace();
return;
}
}
}
}
}
for (int i = 0; i < bricks.size(); i++) {
Brick b = bricks.get(i);
Element bricknode = doc.createElement("Brick");
bricknode.setAttribute("id", String.valueOf(i));
bricknode.setAttribute("st_x", String.valueOf(b.x_));
bricknode.setAttribute("st_y", String.valueOf(b.y_));
bricknode.setAttribute("st_z", String.valueOf(b.z_));
bricknode.setAttribute("width", String.valueOf(b.w_));
bricknode.setAttribute("height", String.valueOf(b.h_));
bricknode.setAttribute("depth", String.valueOf(b.d_));
brksnode.appendChild(bricknode);
Element tboxnode = doc.createElement("tbox");
tboxnode.setAttribute("x0", String.valueOf(b.tx0_));
tboxnode.setAttribute("y0", String.valueOf(b.ty0_));
tboxnode.setAttribute("z0", String.valueOf(b.tz0_));
tboxnode.setAttribute("x1", String.valueOf(b.tx1_));
tboxnode.setAttribute("y1", String.valueOf(b.ty1_));
tboxnode.setAttribute("z1", String.valueOf(b.tz1_));
bricknode.appendChild(tboxnode);
Element bboxnode = doc.createElement("bbox");
bboxnode.setAttribute("x0", String.valueOf(b.bx0_));
bboxnode.setAttribute("y0", String.valueOf(b.by0_));
bboxnode.setAttribute("z0", String.valueOf(b.bz0_));
bboxnode.setAttribute("x1", String.valueOf(b.bx1_));
bboxnode.setAttribute("y1", String.valueOf(b.by1_));
bboxnode.setAttribute("z1", String.valueOf(b.bz1_));
bricknode.appendChild(bboxnode);
}
if (l < lv - 1) {
imp = WindowManager.getImage(lvImgTitle.get(l + 1));
int[] newdims = imp.getDimensions();
imageW = newdims[0];
imageH = newdims[1];
imageD = newdims[3];
xspc = orgxspc * ((double) orgW / (double) imageW);
yspc = orgyspc * ((double) orgH / (double) imageH);
zspc = orgzspc * ((double) orgD / (double) imageD);
bdepth = imp.getBitDepth();
}
}
File newXMLfile = new File(directory + basename + ".vvd");
writeXML(newXMLfile, doc);
for (int l = 1; l < lv; l++) {
imp = WindowManager.getImage(lvImgTitle.get(l));
imp.changes = false;
imp.close();
}
}
private void geterrors() {
GenericDialog gd = new GenericDialog("Options");
float conf = 0.67f;
gd.addNumericField("Confidence Limit", (int) (conf * 100.0f), 5, 10, null);
gd.addChoice("Error Parameter", paramsnames, paramsnames[0]);
double spacing = 0.01;
gd.addNumericField("Chi^2 plot spacing (% of value)?", spacing * 100.0, 2, 10, null);
boolean globalerror = false;
gd.addCheckbox("Global Fit Error?", globalerror);
int dataset = 0;
gd.addNumericField("Data Set (for Global Error)", dataset, 0);
gd.showDialog();
if (gd.wasCanceled()) {
return;
}
conf = 0.01f * (float) gd.getNextNumber();
int paramindex = (int) gd.getNextChoiceIndex();
spacing = 0.01 * gd.getNextNumber();
globalerror = gd.getNextBoolean();
dataset = (int) gd.getNextNumber();
if (globalerror) {
support_plane_errors erclass = new support_plane_errors(this, 0.0001, 50, true, 0.1);
int[] erindeces = {paramindex, dataset};
// need to set up all the matrices
int nsel = 0;
int nparams = 11;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
nsel++;
}
}
double[][] params = new double[nsel][nparams];
String[][] tempformulas = new String[nsel][nparams];
double[][][] constraints = new double[2][nsel][nparams];
int[][] vflmatrix = new int[nsel][nparams];
float[][] tempdata = new float[nsel][xpts * ypts];
float[][] tempweights = new float[nsel][xpts * ypts];
int nfit = 0;
int counter = 0;
for (int i = 0; i < ncurves; i++) {
if (include[i]) {
for (int j = 0; j < nparams; j++) {
params[counter][j] = globalparams[i][j];
tempformulas[counter][j] = globalformulas[i][j];
constraints[0][counter][j] = globalconstraints[0][i][j];
constraints[1][counter][j] = globalconstraints[1][i][j];
vflmatrix[counter][j] = globalvflmatrix[i][j];
if (vflmatrix[counter][j] == 0 || (j == 0 && vflmatrix[counter][j] == 2)) {
nfit++;
}
}
for (int j = 0; j < xpts; j++) {
for (int k = 0; k < ypts; k++) {
tempdata[counter][j + k * xpts] = (float) ((double) pch[i][j][k] / (double) nmeas[i]);
tempweights[counter][j + k * xpts] = weights[i][j][k];
}
}
counter++;
}
}
int dofnum = xpts * ypts * nsel - (nfit - 1) - 1;
int dofden = xpts * ypts * nsel - nfit - 1;
// double flim=FLimit(dofnum,dofden,(double)conf);
double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
IJ.log("FLimit = " + (float) flim);
if (flim == Double.NaN && flim < 1.0) {
IJ.showMessage("Invalid Limiting F Value");
return;
}
double truespacing = Math.abs(params[erindeces[1]][erindeces[0]] * spacing);
double[][] c2plot =
erclass.geterrorsglobal(
params,
vflmatrix,
tempformulas,
paramsnames,
constraints,
tempdata,
tempweights,
flim,
truespacing,
erindeces);
IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
int templength = c2plot[0].length;
float[][] c2plotf = new float[2][templength - 1];
for (int i = 0; i < (templength - 1); i++) {
c2plotf[0][i] = (float) c2plot[0][i + 1];
c2plotf[1][i] = (float) c2plot[1][i + 1];
}
new PlotWindow4(
"c2 plot",
paramsnames[paramindex] + "[" + dataset + "]",
"Chi^2",
c2plotf[0],
c2plotf[1])
.draw();
} else {
support_plane_errors erclass = new support_plane_errors(this, 0.0001, 50, false, 0.1);
int errindex = paramindex;
float[] tempdata = new float[xpts * ypts];
float[] tempweights = new float[xpts * ypts];
for (int i = 0; i < xpts; i++) {
for (int j = 0; j < ypts; j++) {
tempdata[i + j * xpts] = (float) ((double) avg[i][j] / (double) nmeas[ncurves]);
tempweights[i + j * xpts] = avgweights[i][j];
}
}
int nfit = 0;
for (int i = 0; i < 7; i++) {
if (avgfixes[i] == 0) {
nfit++;
}
}
int dofnum = xpts * ypts - (nfit - 1) - 1;
int dofden = xpts * ypts - nfit - 1;
double flim = (new jdist()).FLimit(dofnum, dofden, (double) conf);
IJ.log("FLimit = " + (float) flim);
if (flim == Double.NaN && flim < 1.0) {
IJ.showMessage("Invalid Limiting F Value");
return;
}
double truespacing = Math.abs(avgparams[errindex] * spacing);
double[][] c2plot =
erclass.geterrors(
avgparams,
avgfixes,
avgconstraints,
tempdata,
tempweights,
flim,
truespacing,
errindex);
IJ.log("upper limit = " + c2plot[1][0] + " lower limit = " + c2plot[0][0]);
int templength = c2plot[0].length;
float[][] c2plotf = new float[2][templength - 1];
for (int i = 0; i < (templength - 1); i++) {
c2plotf[0][i] = (float) c2plot[0][i + 1];
c2plotf[1][i] = (float) c2plot[1][i + 1];
}
new PlotWindow4("c2 plot", paramsnames[errindex], "Chi^2", c2plotf[0], c2plotf[1]).draw();
}
}