public void reduceHyperstack(ImagePlus imp, int factor, boolean reduceSlices) {
int channels = imp.getNChannels();
int slices = imp.getNSlices();
int frames = imp.getNFrames();
int zfactor = reduceSlices ? factor : 1;
int tfactor = reduceSlices ? 1 : factor;
ImageStack stack = imp.getStack();
ImageStack stack2 = new ImageStack(imp.getWidth(), imp.getHeight());
boolean virtual = stack.isVirtual();
int slices2 = slices / zfactor + ((slices % zfactor) != 0 ? 1 : 0);
int frames2 = frames / tfactor + ((frames % tfactor) != 0 ? 1 : 0);
int n = channels * slices2 * frames2;
int count = 1;
for (int t = 1; t <= frames; t += tfactor) {
for (int z = 1; z <= slices; z += zfactor) {
for (int c = 1; c <= channels; c++) {
int i = imp.getStackIndex(c, z, t);
IJ.showProgress(i, n);
ImageProcessor ip = stack.getProcessor(imp.getStackIndex(c, z, t));
// IJ.log(count++ +" "+i+" "+c+" "+z+" "+t);
stack2.addSlice(stack.getSliceLabel(i), ip);
}
}
}
imp.setStack(stack2, channels, slices2, frames2);
Calibration cal = imp.getCalibration();
if (cal.scaled()) cal.pixelDepth *= zfactor;
if (virtual) imp.setTitle(imp.getTitle());
IJ.showProgress(1.0);
}
public void run(String arg) {
ImagePlus imp = WindowManager.getCurrentImage();
if (imp == null) {
IJ.noImage();
return;
}
ImageStack stack1 = imp.getStack();
String fileName = imp.getTitle();
int endslice = stack1.getSize();
ImagePlus imp2 = duplicateStack(imp);
imp2.show();
String duplicateName = imp2.getTitle();
// IJ.showMessage("Box",fileName);
ImageStack stack2 = imp2.getStack();
stack1.deleteSlice(1);
stack2.deleteSlice(endslice);
String calculatorstring =
("image1='"
+ fileName
+ "' operation=Subtract image2="
+ imp2.getTitle()
+ " create stack");
IJ.run("Image Calculator...", calculatorstring);
ImagePlus imp3 = WindowManager.getCurrentImage();
imp3.setTitle(fileName + " DeltaF up");
imp2.getWindow().close();
imp.getWindow().close();
}
/**
* Execute plugin functionality: stack FFT with window function, max projection over all slices
* (phase, Z angle), blank out central 1/8 circle (set to min value), display min-max.
*/
public ResultSet exec(ImagePlus... imps) {
ImagePlus imp = imps[0];
Util_StackFFT2D stackFFT2D = new Util_StackFFT2D();
stackFFT2D.resultTypeChoice = Util_StackFFT2D.resultType[1];
ImagePlus impF = stackFFT2D.exec(imp);
IJ.run(impF, "Z Project...", "projection=[Max Intensity]");
ImagePlus impProjF = ij.WindowManager.getCurrentImage();
maskCentralRegion(impProjF);
if (impProjF.isComposite()) {
// display grayscale, not colored composite
CompositeImage ci = (CompositeImage) impProjF;
ci.setMode(IJ.GRAYSCALE);
impProjF.updateAndDraw();
}
displayMinToMax(impProjF);
impProjF.setTitle(I1l.makeTitle(imps[0], TLA));
String shortInfo =
"Maximum intensity projection of log"
+ " (amplitude^2) 2D FFT stack, central region masked,"
+ " rescaled (min-max) to improve contrast of the relevant"
+ " frequency range.";
results.addImp(shortInfo, impProjF);
results.addInfo(
"How to interpret",
"look for clean 1st & 2nd"
+ " order spots, similar across angles. Note that spot"
+ " intensity depends on image content.");
return results;
}
public void reduceStack(ImagePlus imp, int factor) {
ImageStack stack = imp.getStack();
boolean virtual = stack.isVirtual();
int n = stack.getSize();
ImageStack stack2 = new ImageStack(stack.getWidth(), stack.getHeight());
for (int i = 1; i <= n; i += factor) {
if (virtual) IJ.showProgress(i, n);
stack2.addSlice(stack.getSliceLabel(i), stack.getProcessor(i));
}
imp.setStack(null, stack2);
if (virtual) {
IJ.showProgress(1.0);
imp.setTitle(imp.getTitle());
}
Calibration cal = imp.getCalibration();
if (cal.scaled()) cal.pixelDepth *= factor;
}
void flatten() {
ImagePlus imp = IJ.getImage();
ImagePlus imp2 = imp.flatten();
imp2.setTitle(WindowManager.getUniqueName(imp.getTitle()));
imp2.show();
}
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;
}
public void run(String arg) {
ImageCheck ic = new ImageCheck();
if (!ImageCheck.checkEnvironment()) return;
ImagePlus imp = IJ.getImage();
if (!ic.isBinary(imp)) {
IJ.error("8-bit binary (black and white only) image required.");
return;
}
if (!ic.isVoxelIsotropic(imp, 1E-3)) {
if (IJ.showMessageWithCancel(
"Anisotropic voxels",
"This image contains anisotropic voxels, which will\n"
+ "result in incorrect thickness calculation.\n\n"
+ "Consider rescaling your data so that voxels are isotropic\n"
+ "(Image > Scale...).\n\n"
+ "Continue anyway?")) {
} else return;
}
GenericDialog gd = new GenericDialog("Options");
gd.addCheckbox("Thickness", true);
gd.addCheckbox("Spacing", false);
gd.addCheckbox("Graphic Result", true);
gd.addCheckbox("Use_ROI_Manager", false);
gd.addCheckbox("Mask thickness map", true);
gd.addHelp("http://bonej.org/thickness");
gd.showDialog();
if (gd.wasCanceled()) {
return;
}
boolean doThickness = gd.getNextBoolean();
boolean doSpacing = gd.getNextBoolean();
boolean doGraphic = gd.getNextBoolean();
boolean doRoi = gd.getNextBoolean();
boolean doMask = gd.getNextBoolean();
long startTime = System.currentTimeMillis();
String title = stripExtension(imp.getTitle());
RoiManager roiMan = RoiManager.getInstance();
// calculate trabecular thickness (Tb.Th)
if (doThickness) {
boolean inverse = false;
ImagePlus impLTC = new ImagePlus();
if (doRoi && roiMan != null) {
ImageStack stack = RoiMan.cropStack(roiMan, imp.getStack(), true, 0, 1);
ImagePlus crop = new ImagePlus(imp.getTitle(), stack);
crop.setCalibration(imp.getCalibration());
impLTC = getLocalThickness(crop, inverse, doMask);
} else impLTC = getLocalThickness(imp, inverse, doMask);
impLTC.setTitle(title + "_Tb.Th");
impLTC.setCalibration(imp.getCalibration());
double[] stats = StackStats.meanStdDev(impLTC);
insertResults(imp, stats, inverse);
if (doGraphic && !Interpreter.isBatchMode()) {
impLTC.show();
impLTC.setSlice(1);
impLTC.getProcessor().setMinAndMax(0, stats[2]);
IJ.run("Fire");
}
}
if (doSpacing) {
boolean inverse = true;
ImagePlus impLTCi = new ImagePlus();
if (doRoi && roiMan != null) {
ImageStack stack = RoiMan.cropStack(roiMan, imp.getStack(), true, 255, 1);
ImagePlus crop = new ImagePlus(imp.getTitle(), stack);
crop.setCalibration(imp.getCalibration());
impLTCi = getLocalThickness(crop, inverse, doMask);
} else impLTCi = getLocalThickness(imp, inverse, doMask);
// check marrow cavity size (i.e. trabcular separation, Tb.Sp)
impLTCi.setTitle(title + "_Tb.Sp");
impLTCi.setCalibration(imp.getCalibration());
double[] stats = StackStats.meanStdDev(impLTCi);
insertResults(imp, stats, inverse);
if (doGraphic && !Interpreter.isBatchMode()) {
impLTCi.show();
impLTCi.setSlice(1);
impLTCi.getProcessor().setMinAndMax(0, stats[2]);
IJ.run("Fire");
}
}
IJ.showProgress(1.0);
IJ.showStatus("Done");
double duration = ((double) System.currentTimeMillis() - (double) startTime) / (double) 1000;
IJ.log("Duration = " + IJ.d2s(duration, 3) + " s");
UsageReporter.reportEvent(this).send();
return;
}
void setMagnification2(double magnification) {
if (magnification > 32.0) magnification = 32.0;
if (magnification < 0.03125) magnification = 0.03125;
this.magnification = magnification;
imp.setTitle(imp.getTitle());
}
