private String displayRanges(ImagePlus imp) {
LUT[] luts = imp.getLuts();
if (luts == null) return "";
String s = "Display ranges\n";
int n = luts.length;
if (n > 7) n = 7;
for (int i = 0; i < n; i++) {
double min = luts[i].min;
double max = luts[i].max;
int digits = (int) min == min && (int) max == max ? 0 : 2;
s += " " + (i + 1) + ": " + IJ.d2s(min, digits) + "-" + IJ.d2s(max, digits) + "\n";
}
return s;
}
byte[] getJar(String address) {
// System.out.println("getJar: "+address);
byte[] data;
try {
URL url = new URL(address);
IJ.showStatus("Connecting to " + IJ.URL);
URLConnection uc = url.openConnection();
int len = uc.getContentLength();
if (IJ.debugMode) IJ.log("Updater (url): " + address + " " + len);
if (len <= 0) return null;
String name = address.contains("wsr") ? "daily build (" : "ij.jar (";
IJ.showStatus("Downloading " + name + IJ.d2s((double) len / 1048576, 1) + "MB)");
InputStream in = uc.getInputStream();
data = new byte[len];
int n = 0;
while (n < len) {
int count = in.read(data, n, len - n);
if (count < 0) throw new EOFException();
n += count;
IJ.showProgress(n, len);
}
in.close();
} catch (IOException e) {
if (IJ.debugMode) IJ.log("" + e);
return null;
}
if (IJ.debugMode) IJ.wait(6000);
return data;
}
// Conversion Options
void conversions() {
double[] weights = ColorProcessor.getWeightingFactors();
boolean weighted = !(weights[0] == 1d / 3d && weights[1] == 1d / 3d && weights[2] == 1d / 3d);
// boolean weighted = !(Math.abs(weights[0]-1d/3d)<0.0001 && Math.abs(weights[1]-1d/3d)<0.0001
// && Math.abs(weights[2]-1d/3d)<0.0001);
GenericDialog gd = new GenericDialog("Conversion Options");
gd.addCheckbox("Scale when converting", ImageConverter.getDoScaling());
String prompt = "Weighted RGB conversions";
if (weighted)
prompt +=
" (" + IJ.d2s(weights[0]) + "," + IJ.d2s(weights[1]) + "," + IJ.d2s(weights[2]) + ")";
gd.addCheckbox(prompt, weighted);
gd.showDialog();
if (gd.wasCanceled()) return;
ImageConverter.setDoScaling(gd.getNextBoolean());
Prefs.weightedColor = gd.getNextBoolean();
if (!Prefs.weightedColor) ColorProcessor.setWeightingFactors(1d / 3d, 1d / 3d, 1d / 3d);
else if (Prefs.weightedColor && !weighted)
ColorProcessor.setWeightingFactors(0.299, 0.587, 0.114);
return;
}
byte[] getJar(String address) {
byte[] data;
boolean gte133 = version().compareTo("1.33u") >= 0;
try {
URL url = new URL(address);
URLConnection uc = url.openConnection();
int len = uc.getContentLength();
String name = address.endsWith("ij/ij.jar") ? "daily build" : "ij.jar";
IJ.showStatus("Downloading ij.jar (" + IJ.d2s((double) len / 1048576, 1) + "MB)");
InputStream in = uc.getInputStream();
data = new byte[len];
int n = 0;
while (n < len) {
int count = in.read(data, n, len - n);
if (count < 0) throw new EOFException();
n += count;
if (gte133) IJ.showProgress(n, len);
}
in.close();
} catch (IOException e) {
return null;
}
return data;
}
/*
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));
}
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;
}
String d2s(double n) {
return n == (int) n ? Integer.toString((int) n) : IJ.d2s(n);
}
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"); }
/** Displays a modal options dialog. */
public boolean showDialog() {
Calibration cal = imp != null ? imp.getCalibration() : (new Calibration());
double unitSquared = cal.pixelWidth * cal.pixelHeight;
if (pixelUnits) unitSquared = 1.0;
if (Macro.getOptions() != null) {
boolean oldMacro = updateMacroOptions();
if (oldMacro) unitSquared = 1.0;
staticMinSize = 0.0;
staticMaxSize = DEFAULT_MAX_SIZE;
staticMinCircularity = 0.0;
staticMaxCircularity = 1.0;
staticShowChoice = NOTHING;
}
GenericDialog gd = new GenericDialog("Analyze Particles");
minSize = staticMinSize;
maxSize = staticMaxSize;
minCircularity = staticMinCircularity;
maxCircularity = staticMaxCircularity;
showChoice = staticShowChoice;
if (maxSize == 999999) maxSize = DEFAULT_MAX_SIZE;
options = staticOptions;
String unit = cal.getUnit();
boolean scaled = cal.scaled();
if (unit.equals("inch")) {
unit = "pixel";
unitSquared = 1.0;
scaled = false;
pixelUnits = true;
}
String units = unit + "^2";
int places = 0;
double cmin = minSize * unitSquared;
if ((int) cmin != cmin) places = 2;
double cmax = maxSize * unitSquared;
if ((int) cmax != cmax && cmax != DEFAULT_MAX_SIZE) places = 2;
String minStr = ResultsTable.d2s(cmin, places);
if (minStr.indexOf("-") != -1) {
for (int i = places; i <= 6; i++) {
minStr = ResultsTable.d2s(cmin, i);
if (minStr.indexOf("-") == -1) break;
}
}
String maxStr = ResultsTable.d2s(cmax, places);
if (maxStr.indexOf("-") != -1) {
for (int i = places; i <= 6; i++) {
maxStr = ResultsTable.d2s(cmax, i);
if (maxStr.indexOf("-") == -1) break;
}
}
if (scaled) gd.setInsets(5, 0, 0);
gd.addStringField("Size (" + units + "):", minStr + "-" + maxStr, 12);
if (scaled) {
gd.setInsets(0, 40, 5);
gd.addCheckbox("Pixel units", pixelUnits);
}
gd.addStringField("Circularity:", IJ.d2s(minCircularity) + "-" + IJ.d2s(maxCircularity), 12);
gd.addChoice("Show:", showStrings, showStrings[showChoice]);
String[] labels = new String[8];
boolean[] states = new boolean[8];
labels[0] = "Display results";
states[0] = (options & SHOW_RESULTS) != 0;
labels[1] = "Exclude on edges";
states[1] = (options & EXCLUDE_EDGE_PARTICLES) != 0;
labels[2] = "Clear results";
states[2] = (options & CLEAR_WORKSHEET) != 0;
labels[3] = "Include holes";
states[3] = (options & INCLUDE_HOLES) != 0;
labels[4] = "Summarize";
states[4] = (options & DISPLAY_SUMMARY) != 0;
labels[5] = "Record starts";
states[5] = (options & RECORD_STARTS) != 0;
labels[6] = "Add to Manager";
states[6] = (options & ADD_TO_MANAGER) != 0;
labels[7] = "In_situ Show";
states[7] = (options & IN_SITU_SHOW) != 0;
gd.addCheckboxGroup(4, 2, labels, states);
gd.addHelp(IJ.URL + "/docs/menus/analyze.html#ap");
gd.showDialog();
if (gd.wasCanceled()) return false;
String size = gd.getNextString(); // min-max size
if (scaled) pixelUnits = gd.getNextBoolean();
if (pixelUnits) unitSquared = 1.0;
else unitSquared = cal.pixelWidth * cal.pixelHeight;
String[] minAndMax = Tools.split(size, " -");
double mins = gd.parseDouble(minAndMax[0]);
double maxs = minAndMax.length == 2 ? gd.parseDouble(minAndMax[1]) : Double.NaN;
minSize = Double.isNaN(mins) ? DEFAULT_MIN_SIZE : mins / unitSquared;
maxSize = Double.isNaN(maxs) ? DEFAULT_MAX_SIZE : maxs / unitSquared;
if (minSize < DEFAULT_MIN_SIZE) minSize = DEFAULT_MIN_SIZE;
if (maxSize < minSize) maxSize = DEFAULT_MAX_SIZE;
staticMinSize = minSize;
staticMaxSize = maxSize;
minAndMax = Tools.split(gd.getNextString(), " -"); // min-max circularity
double minc = gd.parseDouble(minAndMax[0]);
double maxc = minAndMax.length == 2 ? gd.parseDouble(minAndMax[1]) : Double.NaN;
minCircularity = Double.isNaN(minc) ? 0.0 : minc;
maxCircularity = Double.isNaN(maxc) ? 1.0 : maxc;
if (minCircularity < 0.0 || minCircularity > 1.0) minCircularity = 0.0;
if (maxCircularity < minCircularity || maxCircularity > 1.0) maxCircularity = 1.0;
if (minCircularity == 1.0 && maxCircularity == 1.0) minCircularity = 0.0;
staticMinCircularity = minCircularity;
staticMaxCircularity = maxCircularity;
if (gd.invalidNumber()) {
IJ.error("Bins invalid.");
canceled = true;
return false;
}
showChoice = gd.getNextChoiceIndex();
staticShowChoice = showChoice;
if (gd.getNextBoolean()) options |= SHOW_RESULTS;
else options &= ~SHOW_RESULTS;
if (gd.getNextBoolean()) options |= EXCLUDE_EDGE_PARTICLES;
else options &= ~EXCLUDE_EDGE_PARTICLES;
if (gd.getNextBoolean()) options |= CLEAR_WORKSHEET;
else options &= ~CLEAR_WORKSHEET;
if (gd.getNextBoolean()) options |= INCLUDE_HOLES;
else options &= ~INCLUDE_HOLES;
if (gd.getNextBoolean()) options |= DISPLAY_SUMMARY;
else options &= ~DISPLAY_SUMMARY;
if (gd.getNextBoolean()) options |= RECORD_STARTS;
else options &= ~RECORD_STARTS;
if (gd.getNextBoolean()) options |= ADD_TO_MANAGER;
else options &= ~ADD_TO_MANAGER;
if (gd.getNextBoolean()) options |= IN_SITU_SHOW;
else options &= ~IN_SITU_SHOW;
staticOptions = options;
options |= SHOW_PROGRESS;
if ((options & DISPLAY_SUMMARY) != 0)
Analyzer.setMeasurements(Analyzer.getMeasurements() | AREA);
return true;
}
private String d2s(double n) {
return IJ.d2s(n, Tools.getDecimalPlaces(n));
}
public boolean dialogItemChanged(GenericDialog gd, AWTEvent e) {
if (IJ.isMacOSX()) IJ.wait(50);
Calibration cal = imp.getCalibration();
width = gd.getNextNumber();
height = gd.getNextNumber();
xRoi = gd.getNextNumber();
yRoi = gd.getNextNumber();
if (stackSize > 1) iSlice = (int) gd.getNextNumber();
oval = gd.getNextBoolean();
square = gd.getNextBoolean();
centered = gd.getNextBoolean();
if (cal.scaled()) scaledUnits = gd.getNextBoolean();
if (gd.invalidNumber() || width <= 0 || height <= 0) return false;
//
Vector numFields = gd.getNumericFields();
Vector checkboxes = gd.getCheckboxes();
boolean newWidth = false, newHeight = false, newXY = false;
if (e != null && e.getSource() == checkboxes.get(SQUARE) && square) {
width = 0.5 * (width + height); // make square: same width&height
height = width;
newWidth = true;
newHeight = true;
}
if (e != null && e.getSource() == checkboxes.get(CENTERED)) {
double shiftBy = centered ? 0.5 : -0.5; // 'centered' changed:
xRoi += shiftBy * width; // shift x, y to keep roi the same
yRoi += shiftBy * height;
newXY = true;
}
if (square && width != height && e != null) { // in 'square' mode, synchronize width&height
if (e.getSource() == numFields.get(WIDTH)) {
height = width;
newHeight = true;
} else if (e.getSource() == numFields.get(HEIGHT)) {
width = height;
newWidth = true;
}
}
if (e != null && cal.scaled() && e.getSource() == checkboxes.get(SCALED_UNITS)) {
double xFactor = scaledUnits ? cal.pixelWidth : 1. / cal.pixelWidth;
double yFactor = scaledUnits ? cal.pixelHeight : 1. / cal.pixelHeight;
width *= xFactor; // transform everything to keep roi the same
height *= yFactor;
xRoi *= xFactor;
yRoi *= yFactor;
newWidth = true;
newHeight = true;
newXY = true;
}
int digits = (scaledUnits || (int) width != width) ? 2 : 0;
if (newWidth) ((TextField) (numFields.get(WIDTH))).setText(IJ.d2s(width, digits));
if (newHeight) ((TextField) (numFields.get(HEIGHT))).setText(IJ.d2s(height, digits));
digits = (scaledUnits || (int) xRoi != xRoi || (int) yRoi != yRoi) ? 2 : 0;
if (newXY) {
((TextField) (numFields.get(X_ROI))).setText(IJ.d2s(xRoi, digits));
((TextField) (numFields.get(Y_ROI))).setText(IJ.d2s(yRoi, digits));
}
if (stackSize > 1 && iSlice > 0 && iSlice <= stackSize) imp.setSlice(iSlice);
if (!newWidth && !newHeight && !newXY) // don't draw if an update will come immediately
drawRoi();
return true;
}
public void run(String arg) {
imp = IJ.getImage();
int stackSize = imp.getStackSize();
if (imp == null) {
IJ.noImage();
return;
}
// Make sure input image is a stack.
if (stackSize == 1) {
IJ.error("Z Project", "Stack required");
return;
}
// Check for inverting LUT.
if (imp.getProcessor().isInvertedLut()) {
if (!IJ.showMessageWithCancel("ZProjection", lutMessage)) return;
}
// Set default bounds.
int channels = imp.getNChannels();
int frames = imp.getNFrames();
int slices = imp.getNSlices();
isHyperstack =
imp.isHyperStack()
|| (ij.macro.Interpreter.isBatchMode()
&& ((frames > 1 && frames < stackSize) || (slices > 1 && slices < stackSize)));
boolean simpleComposite = channels == stackSize;
if (simpleComposite) isHyperstack = false;
startSlice = 1;
if (isHyperstack) {
int nSlices = imp.getNSlices();
if (nSlices > 1) stopSlice = nSlices;
else stopSlice = imp.getNFrames();
} else stopSlice = stackSize;
// Build control dialog
GenericDialog gd = buildControlDialog(startSlice, stopSlice);
gd.showDialog();
if (gd.wasCanceled()) return;
if (!imp.lock()) return; // exit if in use
long tstart = System.currentTimeMillis();
setStartSlice((int) gd.getNextNumber());
setStopSlice((int) gd.getNextNumber());
method = gd.getNextChoiceIndex();
Prefs.set(METHOD_KEY, method);
if (isHyperstack) {
allTimeFrames = imp.getNFrames() > 1 && imp.getNSlices() > 1 ? gd.getNextBoolean() : false;
doHyperStackProjection(allTimeFrames);
} else if (imp.getType() == ImagePlus.COLOR_RGB) doRGBProjection(true);
else doProjection(true);
if (arg.equals("") && projImage != null) {
long tstop = System.currentTimeMillis();
projImage.setCalibration(imp.getCalibration());
if (simpleComposite) IJ.run(projImage, "Grays", "");
projImage.show("ZProjector: " + IJ.d2s((tstop - tstart) / 1000.0, 2) + " seconds");
}
imp.unlock();
IJ.register(ZProjector.class);
return;
}