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));
}
void lineToArea(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null || !roi.isLine()) {
IJ.error("Line to Area", "Line selection required");
return;
}
Undo.setup(Undo.ROI, imp);
Roi roi2 = null;
if (roi.getType() == Roi.LINE) {
double width = roi.getStrokeWidth();
if (width <= 1.0) roi.setStrokeWidth(1.0000001);
FloatPolygon p = roi.getFloatPolygon();
roi.setStrokeWidth(width);
roi2 = new PolygonRoi(p, Roi.POLYGON);
roi2.setDrawOffset(roi.getDrawOffset());
} else {
ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
ip2.setColor(255);
roi.drawPixels(ip2);
// new ImagePlus("ip2", ip2.duplicate()).show();
ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
ThresholdToSelection tts = new ThresholdToSelection();
roi2 = tts.convert(ip2);
}
transferProperties(roi, roi2);
roi2.setStrokeWidth(0);
Color c = roi2.getStrokeColor();
if (c != null) // remove any transparency
roi2.setStrokeColor(new Color(c.getRed(), c.getGreen(), c.getBlue()));
imp.setRoi(roi2);
Roi.previousRoi = (Roi) roi.clone();
}
void lineToArea(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null || !roi.isLine()) {
IJ.error("Line to Area", "Line selection required");
return;
}
if (roi.getType() == Roi.LINE && roi.getStrokeWidth() == 1) {
IJ.error("Line to Area", "Straight line width must be > 1");
return;
}
ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
ip2.setColor(255);
if (roi.getType() == Roi.LINE) ip2.fillPolygon(roi.getPolygon());
else {
roi.drawPixels(ip2);
// BufferedImage bi = new BufferedImage(imp.getWidth(), imp.getHeight(),
// BufferedImage.TYPE_BYTE_GRAY);
// Graphics g = bi.getGraphics();
// Roi roi2 = (Roi)roi.clone();
// roi2.setStrokeColor(Color.white);
// roi2.drawOverlay(g);
// ip2 = new ByteProcessor(bi);
}
// new ImagePlus("ip2", ip2.duplicate()).show();
ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
ThresholdToSelection tts = new ThresholdToSelection();
Roi roi2 = tts.convert(ip2);
imp.setRoi(roi2);
Roi.previousRoi = (Roi) roi.clone();
}
boolean setThresholdLevels(ImagePlus imp, ImageProcessor ip) {
double t1 = ip.getMinThreshold();
double t2 = ip.getMaxThreshold();
boolean invertedLut = imp.isInvertedLut();
boolean byteImage = ip instanceof ByteProcessor;
if (ip instanceof ShortProcessor) imageType = SHORT;
else if (ip instanceof FloatProcessor) imageType = FLOAT;
else imageType = BYTE;
if (t1 == ImageProcessor.NO_THRESHOLD) {
ImageStatistics stats = imp.getStatistics();
if (imageType != BYTE || (stats.histogram[0] + stats.histogram[255] != stats.pixelCount)) {
IJ.error(
"Particle Analyzer",
"A thresholded image or 8-bit binary image is\n"
+ "required. Threshold levels can be set using\n"
+ "the Image->Adjust->Threshold tool.");
canceled = true;
return false;
}
boolean threshold255 = invertedLut;
if (Prefs.blackBackground) threshold255 = !threshold255;
if (threshold255) {
level1 = 255;
level2 = 255;
fillColor = 64;
} else {
level1 = 0;
level2 = 0;
fillColor = 192;
}
} else {
level1 = t1;
level2 = t2;
if (imageType == BYTE) {
if (level1 > 0) fillColor = 0;
else if (level2 < 255) fillColor = 255;
} else if (imageType == SHORT) {
if (level1 > 0) fillColor = 0;
else if (level2 < 65535) fillColor = 65535;
} else if (imageType == FLOAT) fillColor = -Float.MAX_VALUE;
else return false;
}
imageType2 = imageType;
if (redirectIP != null) {
if (redirectIP instanceof ShortProcessor) imageType2 = SHORT;
else if (redirectIP instanceof FloatProcessor) imageType2 = FLOAT;
else if (redirectIP instanceof ColorProcessor) imageType2 = RGB;
else imageType2 = BYTE;
}
return true;
}
void drawOutline(ImageProcessor ip, Roi roi, int count) {
if (showChoice == OVERLAY_OUTLINES || showChoice == OVERLAY_MASKS) {
if (overlay == null) {
overlay = new Overlay();
overlay.drawLabels(true);
overlay.setLabelFont(new Font("SansSerif", Font.PLAIN, fontSize));
}
Roi roi2 = (Roi) roi.clone();
roi2.setStrokeColor(Color.cyan);
if (lineWidth != 1) roi2.setStrokeWidth(lineWidth);
if (showChoice == OVERLAY_MASKS) roi2.setFillColor(Color.cyan);
overlay.add(roi2);
} else {
Rectangle r = roi.getBounds();
int nPoints = ((PolygonRoi) roi).getNCoordinates();
int[] xp = ((PolygonRoi) roi).getXCoordinates();
int[] yp = ((PolygonRoi) roi).getYCoordinates();
int x = r.x, y = r.y;
if (!inSituShow) ip.setValue(0.0);
ip.moveTo(x + xp[0], y + yp[0]);
for (int i = 1; i < nPoints; i++) ip.lineTo(x + xp[i], y + yp[i]);
ip.lineTo(x + xp[0], y + yp[0]);
if (showChoice != BARE_OUTLINES) {
String s = ResultsTable.d2s(count, 0);
ip.moveTo(r.x + r.width / 2 - ip.getStringWidth(s) / 2, r.y + r.height / 2 + fontSize / 2);
if (!inSituShow) ip.setValue(1.0);
ip.drawString(s);
}
}
}
void reset(ImagePlus imp, ImageProcessor ip) {
// Assign the pixels of ip to the data in the restore array, while
// taking care to not give the address the restore array to the
// image processor.
int[] pixels = (int[]) ip.getPixels();
for (int i = 0; i < numPixels; i++) pixels[i] = restore[i];
}
/** Opens a stack of images. */
ImagePlus openStack(ColorModel cm, boolean show) {
ImageStack stack = new ImageStack(fi.width, fi.height, cm);
long skip = fi.getOffset();
Object pixels;
try {
ImageReader reader = new ImageReader(fi);
InputStream is = createInputStream(fi);
if (is == null) return null;
IJ.resetEscape();
for (int i = 1; i <= fi.nImages; i++) {
if (!silentMode) IJ.showStatus("Reading: " + i + "/" + fi.nImages);
if (IJ.escapePressed()) {
IJ.beep();
IJ.showProgress(1.0);
silentMode = false;
return null;
}
pixels = reader.readPixels(is, skip);
if (pixels == null) break;
stack.addSlice(null, pixels);
skip = fi.gapBetweenImages;
if (!silentMode) IJ.showProgress(i, fi.nImages);
}
is.close();
} catch (Exception e) {
IJ.log("" + e);
} catch (OutOfMemoryError e) {
IJ.outOfMemory(fi.fileName);
stack.trim();
}
if (!silentMode) IJ.showProgress(1.0);
if (stack.getSize() == 0) return null;
if (fi.sliceLabels != null && fi.sliceLabels.length <= stack.getSize()) {
for (int i = 0; i < fi.sliceLabels.length; i++) stack.setSliceLabel(fi.sliceLabels[i], i + 1);
}
ImagePlus imp = new ImagePlus(fi.fileName, stack);
if (fi.info != null) imp.setProperty("Info", fi.info);
if (show) imp.show();
imp.setFileInfo(fi);
setCalibration(imp);
ImageProcessor ip = imp.getProcessor();
if (ip.getMin() == ip.getMax()) // find stack min and max if first slice is blank
setStackDisplayRange(imp);
if (!silentMode) IJ.showProgress(1.0);
silentMode = false;
return imp;
}
void lineToArea(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null || !roi.isLine()) {
IJ.error("Line to Area", "Line selection required");
return;
}
ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
ip2.setColor(255);
if (roi.getType() == Roi.LINE && roi.getStrokeWidth() > 1) ip2.fillPolygon(roi.getPolygon());
else roi.drawPixels(ip2);
// new ImagePlus("ip2", ip2.duplicate()).show();
ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
ThresholdToSelection tts = new ThresholdToSelection();
Roi roi2 = tts.convert(ip2);
imp.setRoi(roi2);
Roi.previousRoi = (Roi) roi.clone();
}
void setHistogram(ImagePlus imp, int j) {
ImageProcessor ip = imp.getProcessor();
ImageStatistics stats = ImageStatistics.getStatistics(ip, AREA + MODE, null);
int maxCount2 = 0;
histogram = stats.histogram;
for (int i = 0; i < stats.nBins; i++)
if ((histogram[i] > maxCount2) && (i != stats.mode)) maxCount2 = histogram[i];
hmax = stats.maxCount;
if ((hmax > (maxCount2 * 1.5)) && (maxCount2 != 0)) { // GL 1.5 was 2
hmax = (int) (maxCount2 * 1.1); // GL 1.1 was 1.5
histogram[stats.mode] = hmax;
}
os = null;
ColorModel cm = ip.getColorModel();
if (!(cm instanceof IndexColorModel)) return;
IndexColorModel icm = (IndexColorModel) cm;
int mapSize = icm.getMapSize();
if (mapSize != 256) return;
byte[] r = new byte[256];
byte[] g = new byte[256];
byte[] b = new byte[256];
icm.getReds(r);
icm.getGreens(g);
icm.getBlues(b);
hColors = new Color[256];
if (isRGB) {
if (j == 0) {
for (int i = 0; i < 256; i++) hColors[i] = new Color(i & 255, 0 & 255, 0 & 255);
} else if (j == 1) {
for (int i = 0; i < 256; i++) hColors[i] = new Color(0 & 255, i & 255, 0 & 255);
} else if (j == 2) {
for (int i = 0; i < 256; i++) hColors[i] = new Color(0 & 255, 0 & 255, i & 255);
}
} else {
if (j == 0) {
for (int i = 0; i < 256; i++) hColors[i] = new Color(r[i] & 255, g[i] & 255, b[i] & 255);
} else if (j == 1) {
for (int i = 0; i < 256; i++)
// hColors[i] = new Color(127-i/2&255, 127+i/2&255, 127-i/2&255);
hColors[i] = new Color(192 - i / 4 & 255, 192 + i / 4 & 255, 192 - i / 4 & 255);
} else if (j == 2) {
for (int i = 0; i < 256; i++) hColors[i] = new Color(i & 255, i & 255, 0 & 255);
}
}
}
void createMask(ImagePlus imp) {
Roi roi = imp.getRoi();
boolean useInvertingLut = Prefs.useInvertingLut;
Prefs.useInvertingLut = false;
if (roi == null || !(roi.isArea() || roi.getType() == Roi.POINT)) {
createMaskFromThreshold(imp);
Prefs.useInvertingLut = useInvertingLut;
return;
}
ImagePlus maskImp = null;
Frame frame = WindowManager.getFrame("Mask");
if (frame != null && (frame instanceof ImageWindow))
maskImp = ((ImageWindow) frame).getImagePlus();
if (maskImp == null) {
ImageProcessor ip = new ByteProcessor(imp.getWidth(), imp.getHeight());
if (!Prefs.blackBackground) ip.invertLut();
maskImp = new ImagePlus("Mask", ip);
maskImp.show();
}
ImageProcessor ip = maskImp.getProcessor();
ip.setRoi(roi);
ip.setValue(255);
ip.fill(ip.getMask());
maskImp.updateAndDraw();
Prefs.useInvertingLut = useInvertingLut;
}
private String addMean(int column, String line, int start) {
if (start == -1) {
line += "\tNaN";
summaryHdr += "\t" + ResultsTable.getDefaultHeading(column);
} else {
float[] c = column >= 0 ? rt.getColumn(column) : null;
if (c != null) {
ImageProcessor ip = new FloatProcessor(c.length, 1, c, null);
if (ip == null) return line;
ip.setRoi(start, 0, ip.getWidth() - start, 1);
ip = ip.crop();
ImageStatistics stats = new FloatStatistics(ip);
if (stats == null) return line;
line += n(stats.mean);
} else line += "\tNaN";
summaryHdr += "\t" + rt.getColumnHeading(column);
}
return line;
}
void avg_col(ImageProcessor ip) {
float sum; // sum of pixel values column
float avg; // average pixel value of a column
float[] sliceavgs = new float[width]; // means across columns of one slice
int sliceNumber = ip.getSliceNumber() - 1; // slice number
for (int x = 0; x < width; x += 1) {
sum = 0; // reset with each column
avg = 0; // reset with each column
for (int y = 0; y < height; y += 1) {
sum = sum + ip.getPixelValue(x, y);
}
avg = sum / height;
sliceavgs[x] = avg; // building array of means
}
this.slicecols[sliceNumber] = sliceavgs; // add this slice's means to array
}
void createSelectionFromMask(ImagePlus imp) {
ImageProcessor ip = imp.getProcessor();
if (ip.getMinThreshold() != ImageProcessor.NO_THRESHOLD) {
IJ.runPlugIn("ij.plugin.filter.ThresholdToSelection", "");
return;
}
if (!ip.isBinary()) {
IJ.error(
"Create Selection",
"This command creates a composite selection from\n"
+ "a mask (8-bit binary image with white background)\n"
+ "or from an image that has been thresholded using\n"
+ "the Image>Adjust>Threshold tool. The current\n"
+ "image is not a mask and has not been thresholded.");
return;
}
int threshold = ip.isInvertedLut() ? 255 : 0;
ip.setThreshold(threshold, threshold, ImageProcessor.NO_LUT_UPDATE);
IJ.runPlugIn("ij.plugin.filter.ThresholdToSelection", "");
}
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 scale(ImageProcessor ip) {
if (newWindow) {
Rectangle r = ip.getRoi();
ImagePlus imp2 = imp.createImagePlus();
imp2.setProcessor(title, ip.resize(newWidth, newHeight));
Calibration cal = imp2.getCalibration();
if (cal.scaled()) {
cal.pixelWidth *= 1.0 / xscale;
cal.pixelHeight *= 1.0 / yscale;
}
imp2.show();
imp.trimProcessor();
imp2.trimProcessor();
imp2.changes = true;
} else {
if (processStack && imp.getStackSize() > 1) {
Undo.reset();
StackProcessor sp = new StackProcessor(imp.getStack(), ip);
sp.scale(xscale, yscale, bgValue);
} else {
ip.snapshot();
Undo.setup(Undo.FILTER, imp);
ip.setSnapshotCopyMode(true);
ip.scale(xscale, yscale);
ip.setSnapshotCopyMode(false);
}
imp.killRoi();
imp.updateAndDraw();
imp.changes = true;
}
}
public void run(ImageProcessor ip) {
if (canceled) return;
slice++;
if (imp.getStackSize() > 1 && processStack) imp.setSlice(slice);
if (imp.getType() == ImagePlus.COLOR_RGB) {
ip = (ImageProcessor) imp.getProperty("Mask");
ip.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
}
if (!analyze(imp, ip)) canceled = true;
if (slice == imp.getStackSize()) {
imp.updateAndDraw();
if (saveRoi != null) imp.setRoi(saveRoi);
}
}
void createMaskFromThreshold(ImagePlus imp) {
ImageProcessor ip = imp.getProcessor();
if (ip.getMinThreshold() == ImageProcessor.NO_THRESHOLD) {
IJ.error("Create Mask", "Area selection or thresholded image required");
return;
}
double t1 = ip.getMinThreshold();
double t2 = ip.getMaxThreshold();
IJ.run("Duplicate...", "title=mask");
ImagePlus imp2 = WindowManager.getCurrentImage();
ImageProcessor ip2 = imp2.getProcessor();
ip2.setThreshold(t1, t2, ip2.getLutUpdateMode());
IJ.run("Convert to Mask");
}
void setStackDisplayRange(ImagePlus imp) {
ImageStack stack = imp.getStack();
double min = Double.MAX_VALUE;
double max = -Double.MAX_VALUE;
int n = stack.getSize();
for (int i = 1; i <= n; i++) {
if (!silentMode) IJ.showStatus("Calculating stack min and max: " + i + "/" + n);
ImageProcessor ip = stack.getProcessor(i);
ip.resetMinAndMax();
if (ip.getMin() < min) min = ip.getMin();
if (ip.getMax() > max) max = ip.getMax();
}
imp.getProcessor().setMinAndMax(min, max);
imp.updateAndDraw();
}
void createNewStack(ImagePlus imp, ImageProcessor ip) {
int nSlices = imp.getStackSize();
int w = imp.getWidth(), h = imp.getHeight();
ImagePlus imp2 = imp.createImagePlus();
Rectangle r = ip.getRoi();
boolean crop = r.width != imp.getWidth() || r.height != imp.getHeight();
ImageStack stack1 = imp.getStack();
ImageStack stack2 = new ImageStack(newWidth, newHeight);
ImageProcessor ip1, ip2;
int method = interpolationMethod;
if (w == 1 || h == 1) method = ImageProcessor.NONE;
for (int i = 1; i <= nSlices; i++) {
IJ.showStatus("Scale: " + i + "/" + nSlices);
ip1 = stack1.getProcessor(i);
String label = stack1.getSliceLabel(i);
if (crop) {
ip1.setRoi(r);
ip1 = ip1.crop();
}
ip1.setInterpolationMethod(method);
ip2 = ip1.resize(newWidth, newHeight, averageWhenDownsizing);
if (ip2 != null) stack2.addSlice(label, ip2);
IJ.showProgress(i, nSlices);
}
imp2.setStack(title, stack2);
Calibration cal = imp2.getCalibration();
if (cal.scaled()) {
cal.pixelWidth *= 1.0 / xscale;
cal.pixelHeight *= 1.0 / yscale;
}
IJ.showProgress(1.0);
int[] dim = imp.getDimensions();
imp2.setDimensions(dim[2], dim[3], dim[4]);
if (imp.isComposite()) {
imp2 = new CompositeImage(imp2, ((CompositeImage) imp).getMode());
((CompositeImage) imp2).copyLuts(imp);
}
if (imp.isHyperStack()) imp2.setOpenAsHyperStack(true);
if (newDepth > 0 && newDepth != oldDepth)
imp2 = (new Resizer()).zScale(imp2, newDepth, interpolationMethod);
if (imp2 != null) {
imp2.show();
imp2.changes = true;
}
}
public void run(String arg) {
imp = IJ.getImage();
Roi roi = imp.getRoi();
if (roi != null && !roi.isArea()) imp.killRoi(); // ignore any line selection
ImageProcessor ip = imp.getProcessor();
if (!showDialog(ip)) return;
if (ip.getWidth() > 1 && ip.getHeight() > 1) ip.setInterpolate(interpolate);
else ip.setInterpolate(false);
ip.setBackgroundValue(bgValue);
imp.startTiming();
try {
if (newWindow && imp.getStackSize() > 1 && processStack) createNewStack(imp, ip);
else scale(ip);
} catch (OutOfMemoryError o) {
IJ.outOfMemory("Scale");
}
IJ.showProgress(1.0);
}
void createMask(ImagePlus imp) {
Roi roi = imp.getRoi();
boolean useInvertingLut = Prefs.useInvertingLut;
Prefs.useInvertingLut = false;
boolean selectAll =
roi != null
&& roi.getType() == Roi.RECTANGLE
&& roi.getBounds().width == imp.getWidth()
&& roi.getBounds().height == imp.getHeight()
&& imp.isThreshold();
if (roi == null || !(roi.isArea() || roi.getType() == Roi.POINT) || selectAll) {
createMaskFromThreshold(imp);
Prefs.useInvertingLut = useInvertingLut;
return;
}
ImagePlus maskImp = null;
Frame frame = WindowManager.getFrame("Mask");
if (frame != null && (frame instanceof ImageWindow))
maskImp = ((ImageWindow) frame).getImagePlus();
if (maskImp == null) {
ImageProcessor ip = new ByteProcessor(imp.getWidth(), imp.getHeight());
if (!Prefs.blackBackground) ip.invertLut();
maskImp = new ImagePlus("Mask", ip);
maskImp.show();
}
ImageProcessor ip = maskImp.getProcessor();
ip.setRoi(roi);
ip.setValue(255);
ip.fill(ip.getMask());
Calibration cal = imp.getCalibration();
if (cal.scaled()) {
Calibration cal2 = maskImp.getCalibration();
cal2.pixelWidth = cal.pixelWidth;
cal2.pixelHeight = cal.pixelHeight;
cal2.setUnit(cal.getUnit());
}
maskImp.updateAndRepaintWindow();
Prefs.useInvertingLut = useInvertingLut;
}
void createNewStack(ImagePlus imp, ImageProcessor ip) {
Rectangle r = ip.getRoi();
boolean crop = r.width != imp.getWidth() || r.height != imp.getHeight();
int nSlices = imp.getStackSize();
ImageStack stack1 = imp.getStack();
ImageStack stack2 = new ImageStack(newWidth, newHeight);
ImageProcessor ip1, ip2;
boolean interp = interpolate;
if (imp.getWidth() == 1 || imp.getHeight() == 1) interp = false;
for (int i = 1; i <= nSlices; i++) {
IJ.showStatus("Scale: " + i + "/" + nSlices);
ip1 = stack1.getProcessor(i);
String label = stack1.getSliceLabel(i);
if (crop) {
ip1.setRoi(r);
ip1 = ip1.crop();
}
ip1.setInterpolate(interp);
ip2 = ip1.resize(newWidth, newHeight);
if (ip2 != null) stack2.addSlice(label, ip2);
IJ.showProgress(i, nSlices);
}
ImagePlus imp2 = imp.createImagePlus();
imp2.setStack(title, stack2);
Calibration cal = imp2.getCalibration();
if (cal.scaled()) {
cal.pixelWidth *= 1.0 / xscale;
cal.pixelHeight *= 1.0 / yscale;
}
int[] dim = imp.getDimensions();
imp2.setDimensions(dim[2], dim[3], dim[4]);
IJ.showProgress(1.0);
if (imp.isComposite()) {
imp2 = new CompositeImage(imp2, 0);
((CompositeImage) imp2).copyLuts(imp);
}
if (imp.isHyperStack()) imp2.setOpenAsHyperStack(true);
imp2.show();
imp2.changes = true;
}
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;
}
/*
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));
}
public void run(ImageProcessor ip) {
String[] imageNames = getOpenImageNames();
if (imageNames[0] == "None") {
IJ.error("need at least 2 binary open images");
return;
}
double previousMinOverlap = Prefs.get("BVTB.BinaryFeatureExtractor.minOverlap", 0);
boolean previousCombine = Prefs.get("BVTB.BinaryFeatureExtractor.combine", false);
GenericDialog gd = new GenericDialog("Binary Feature Extractor");
gd.addChoice("Objects image", imageNames, imageNames[0]);
gd.addChoice("Selector image", imageNames, imageNames[1]);
gd.addNumericField("Object_overlap in % (0=off)", previousMinOverlap, 0, 9, "");
gd.addCheckbox("Combine objects and selectors", previousCombine);
gd.addCheckbox("Count output", true);
gd.addCheckbox("Analysis tables", false);
gd.showDialog();
if (gd.wasCanceled()) {
return;
}
String objectsImgTitle = gd.getNextChoice();
String selectorsImgTitle = gd.getNextChoice();
double minOverlap = gd.getNextNumber();
boolean combineImages = gd.getNextBoolean();
boolean showCountOutput = gd.getNextBoolean();
boolean showAnalysis = gd.getNextBoolean();
if (gd.invalidNumber() || minOverlap < 0 || minOverlap > 100) {
IJ.error("invalid number");
return;
}
Prefs.set("BVTB.BinaryFeatureExtractor.minOverlap", minOverlap);
Prefs.set("BVTB.BinaryFeatureExtractor.combine", combineImages);
if (objectsImgTitle.equals(selectorsImgTitle)) {
IJ.error("images need to be different");
return;
}
ImagePlus objectsImp = WindowManager.getImage(objectsImgTitle);
ImageProcessor objectsIP = objectsImp.getProcessor();
ImagePlus selectorsImp = WindowManager.getImage(selectorsImgTitle);
ImageProcessor selectorsIP = selectorsImp.getProcessor();
if (!objectsIP.isBinary() || !selectorsIP.isBinary()) {
IJ.error("works with 8-bit binary images only");
return;
}
if ((objectsImp.getWidth() != selectorsImp.getWidth())
|| objectsImp.getHeight() != selectorsImp.getHeight()) {
IJ.error("images need to be of the same size");
return;
}
// close any existing RoiManager before instantiating a new one for this analysis
RoiManager oldRM = RoiManager.getInstance2();
if (oldRM != null) {
oldRM.close();
}
RoiManager objectsRM = new RoiManager(true);
ResultsTable objectsRT = new ResultsTable();
ParticleAnalyzer analyzeObjects =
new ParticleAnalyzer(analyzerOptions, measurementFlags, objectsRT, 0.0, 999999999.9);
analyzeObjects.setRoiManager(objectsRM);
analyzeObjects.analyze(objectsImp);
objectsRM.runCommand("Show None");
int objectNumber = objectsRT.getCounter();
Roi[] objectRoi = objectsRM.getRoisAsArray();
ResultsTable measureSelectorsRT = new ResultsTable();
Analyzer overlapAnalyzer = new Analyzer(selectorsImp, measurementFlags, measureSelectorsRT);
ImagePlus outputImp =
IJ.createImage("output", "8-bit black", objectsImp.getWidth(), objectsImp.getHeight(), 1);
ImageProcessor outputIP = outputImp.getProcessor();
double[] measuredOverlap = new double[objectNumber];
outputIP.setValue(255.0);
for (int o = 0; o < objectNumber; o++) {
selectorsImp.killRoi();
selectorsImp.setRoi(objectRoi[o]);
overlapAnalyzer.measure();
measuredOverlap[o] = measureSelectorsRT.getValue("%Area", o);
if (minOverlap != 0.0 && measuredOverlap[o] >= minOverlap) {
outputIP.fill(objectRoi[o]);
finalCount++;
} else if (minOverlap == 0.0 && measuredOverlap[o] > 0.0) {
outputIP.fill(objectRoi[o]);
finalCount++;
}
}
// measureSelectorsRT.show("Objects");
selectorsImp.killRoi();
RoiManager selectorRM = new RoiManager(true);
ResultsTable selectorRT = new ResultsTable();
ParticleAnalyzer.setRoiManager(selectorRM);
ParticleAnalyzer analyzeSelectors =
new ParticleAnalyzer(analyzerOptions, measurementFlags, selectorRT, 0.0, 999999999.9);
analyzeSelectors.analyze(selectorsImp);
selectorRM.runCommand("Show None");
int selectorNumber = selectorRT.getCounter();
if (combineImages) {
outputImp.updateAndDraw();
Roi[] selectorRoi = selectorRM.getRoisAsArray();
ResultsTable measureObjectsRT = new ResultsTable();
Analyzer selectorAnalyzer = new Analyzer(outputImp, measurementFlags, measureObjectsRT);
double[] selectorOverlap = new double[selectorNumber];
outputIP.setValue(255.0);
for (int s = 0; s < selectorNumber; s++) {
outputImp.killRoi();
outputImp.setRoi(selectorRoi[s]);
selectorAnalyzer.measure();
selectorOverlap[s] = measureObjectsRT.getValue("%Area", s);
if (selectorOverlap[s] > 0.0d) {
outputIP.fill(selectorRoi[s]);
}
}
selectorRoi = null;
selectorAnalyzer = null;
measureObjectsRT = null;
}
// selectorRT.show("Selectors");
outputImp.killRoi();
String outputImageTitle = WindowManager.getUniqueName("Extracted_" + objectsImgTitle);
outputImp.setTitle(outputImageTitle);
outputImp.show();
outputImp.changes = true;
if (showCountOutput) {
String[] openTextWindows = WindowManager.getNonImageTitles();
boolean makeNewTable = true;
for (int w = 0; w < openTextWindows.length; w++) {
if (openTextWindows[w].equals("BFE_Results")) {
makeNewTable = false;
}
}
TextWindow existingCountTable = ResultsTable.getResultsWindow();
if (makeNewTable) {
countTable = new ResultsTable();
countTable.setPrecision(0);
countTable.setValue("Image", 0, outputImageTitle);
countTable.setValue("Objects", 0, objectNumber);
countTable.setValue("Selectors", 0, selectorNumber);
countTable.setValue("Extracted", 0, finalCount);
countTable.show("BFE_Results");
} else {
IJ.renameResults("BFE_Results", "Results");
countTable = ResultsTable.getResultsTable();
countTable.setPrecision(0);
countTable.incrementCounter();
countTable.addValue("Image", outputImageTitle);
countTable.addValue("Objects", objectNumber);
countTable.addValue("Selectors", selectorNumber);
countTable.addValue("Extracted", finalCount);
IJ.renameResults("Results", "BFE_Results");
countTable.show("BFE_Results");
}
}
if (showAnalysis) {
ResultsTable extractedRT = new ResultsTable();
ParticleAnalyzer analyzeExtracted =
new ParticleAnalyzer(
ParticleAnalyzer.CLEAR_WORKSHEET | ParticleAnalyzer.RECORD_STARTS,
measurementFlags,
extractedRT,
0.0,
999999999.9);
analyzeExtracted.analyze(outputImp);
objectsRT.show("Objects");
selectorRT.show("Selectors");
extractedRT.show("Extracted");
} else {
objectsRT = null;
selectorRT = null;
}
objectsRM = null;
measureSelectorsRT = null;
analyzeObjects = null;
overlapAnalyzer = null;
objectRoi = null;
selectorRM = null;
objectsImp.killRoi();
objectsImp.changes = false;
selectorsImp.changes = false;
}
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;
}
void analyzeParticle(int x, int y, ImagePlus imp, ImageProcessor ip) {
// Wand wand = new Wand(ip);
ImageProcessor ip2 = redirectIP != null ? redirectIP : ip;
wand.autoOutline(x, y, level1, level2, wandMode);
if (wand.npoints == 0) {
IJ.log("wand error: " + x + " " + y);
return;
}
Roi roi = new PolygonRoi(wand.xpoints, wand.ypoints, wand.npoints, roiType);
Rectangle r = roi.getBounds();
if (r.width > 1 && r.height > 1) {
PolygonRoi proi = (PolygonRoi) roi;
pf.setPolygon(proi.getXCoordinates(), proi.getYCoordinates(), proi.getNCoordinates());
ip2.setMask(pf.getMask(r.width, r.height));
if (floodFill) ff.particleAnalyzerFill(x, y, level1, level2, ip2.getMask(), r);
}
ip2.setRoi(r);
ip.setValue(fillColor);
ImageStatistics stats = getStatistics(ip2, measurements, calibration);
boolean include = true;
if (excludeEdgeParticles) {
if (r.x == minX || r.y == minY || r.x + r.width == maxX || r.y + r.height == maxY)
include = false;
if (polygon != null) {
Rectangle bounds = roi.getBounds();
int x1 = bounds.x + wand.xpoints[wand.npoints - 1];
int y1 = bounds.y + wand.ypoints[wand.npoints - 1];
int x2, y2;
for (int i = 0; i < wand.npoints; i++) {
x2 = bounds.x + wand.xpoints[i];
y2 = bounds.y + wand.ypoints[i];
if (!polygon.contains(x2, y2)) {
include = false;
break;
}
if ((x1 == x2 && ip.getPixel(x1, y1 - 1) == fillColor)
|| (y1 == y2 && ip.getPixel(x1 - 1, y1) == fillColor)) {
include = false;
break;
}
x1 = x2;
y1 = y2;
}
}
}
ImageProcessor mask = ip2.getMask();
if (minCircularity > 0.0 || maxCircularity < 1.0) {
double perimeter = roi.getLength();
double circularity =
perimeter == 0.0 ? 0.0 : 4.0 * Math.PI * (stats.pixelCount / (perimeter * perimeter));
if (circularity > 1.0) circularity = 1.0;
// IJ.log(circularity+" "+perimeter+" "+stats.area);
if (circularity < minCircularity || circularity > maxCircularity) include = false;
}
if (stats.pixelCount >= minSize && stats.pixelCount <= maxSize && include) {
particleCount++;
if (roiNeedsImage) roi.setImage(imp);
stats.xstart = x;
stats.ystart = y;
saveResults(stats, roi);
if (showChoice != NOTHING) drawParticle(drawIP, roi, stats, mask);
}
if (redirectIP != null) ip.setRoi(r);
ip.fill(mask);
}
void drawRoiFilledParticle(ImageProcessor ip, Roi roi, ImageProcessor mask, int count) {
int grayLevel = (count < 65535) ? count : 65535;
ip.setValue((double) grayLevel);
ip.setRoi(roi.getBounds());
ip.fill(mask);
}
void setCalibration(ImagePlus imp) {
if (fi.fileType == FileInfo.GRAY16_SIGNED) {
if (IJ.debugMode) IJ.log("16-bit signed");
double[] coeff = new double[2];
coeff[0] = -32768.0;
coeff[1] = 1.0;
imp.getLocalCalibration().setFunction(Calibration.STRAIGHT_LINE, coeff, "gray value");
}
Properties props = decodeDescriptionString(fi);
Calibration cal = imp.getCalibration();
boolean calibrated = false;
if (fi.pixelWidth > 0.0 && fi.unit != null) {
cal.pixelWidth = fi.pixelWidth;
cal.pixelHeight = fi.pixelHeight;
cal.pixelDepth = fi.pixelDepth;
cal.setUnit(fi.unit);
calibrated = true;
}
if (fi.valueUnit != null) {
int f = fi.calibrationFunction;
if ((f >= Calibration.STRAIGHT_LINE && f <= Calibration.RODBARD2 && fi.coefficients != null)
|| f == Calibration.UNCALIBRATED_OD) {
boolean zeroClip = props != null && props.getProperty("zeroclip", "false").equals("true");
cal.setFunction(f, fi.coefficients, fi.valueUnit, zeroClip);
calibrated = true;
}
}
if (calibrated) checkForCalibrationConflict(imp, cal);
if (fi.frameInterval != 0.0) cal.frameInterval = fi.frameInterval;
if (props == null) return;
cal.xOrigin = getDouble(props, "xorigin");
cal.yOrigin = getDouble(props, "yorigin");
cal.zOrigin = getDouble(props, "zorigin");
cal.info = props.getProperty("info");
cal.fps = getDouble(props, "fps");
cal.loop = getBoolean(props, "loop");
cal.frameInterval = getDouble(props, "finterval");
cal.setTimeUnit(props.getProperty("tunit", "sec"));
double displayMin = getDouble(props, "min");
double displayMax = getDouble(props, "max");
if (!(displayMin == 0.0 && displayMax == 0.0)) {
int type = imp.getType();
ImageProcessor ip = imp.getProcessor();
if (type == ImagePlus.GRAY8 || type == ImagePlus.COLOR_256)
ip.setMinAndMax(displayMin, displayMax);
else if (type == ImagePlus.GRAY16 || type == ImagePlus.GRAY32) {
if (ip.getMin() != displayMin || ip.getMax() != displayMax)
ip.setMinAndMax(displayMin, displayMax);
}
}
int stackSize = imp.getStackSize();
if (stackSize > 1) {
int channels = (int) getDouble(props, "channels");
int slices = (int) getDouble(props, "slices");
int frames = (int) getDouble(props, "frames");
if (channels == 0) channels = 1;
if (slices == 0) slices = 1;
if (frames == 0) frames = 1;
// IJ.log("setCalibration: "+channels+" "+slices+" "+frames);
if (channels * slices * frames == stackSize) {
imp.setDimensions(channels, slices, frames);
if (getBoolean(props, "hyperstack")) imp.setOpenAsHyperStack(true);
}
}
}
void drawFilledParticle(ImageProcessor ip, Roi roi, ImageProcessor mask) {
// IJ.write(roi.getBounds()+" "+mask.length);
ip.setRoi(roi.getBounds());
ip.fill(mask);
}