imageJ.ThresholderOrbit Maven / Gradle / Ivy
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Orbit, a versatile image analysis software for biological image-based quantification
package imageJ;
import ij.*;
import ij.gui.GenericDialog;
import ij.gui.Toolbar;
import ij.measure.Measurements;
import ij.plugin.PlugIn;
import ij.plugin.frame.Recorder;
import ij.process.AutoThresholder;
import ij.process.ByteProcessor;
import ij.process.ImageProcessor;
import ij.process.StackProcessor;
import java.awt.*;
import java.awt.event.ItemEvent;
import java.awt.event.ItemListener;
import java.util.Vector;
/** This plugin implements the Process/Binary/Make Binary
and Convert to Mask commands. */
public class ThresholderOrbit implements PlugIn, Measurements, ItemListener {
public static final String[] methods = AutoThresholder.getMethods();
public static final String[] backgrounds = {"Default", "Dark", "Light"};
private double minThreshold;
private double maxThreshold;
boolean autoThreshold;
boolean skipDialog;
static boolean fill1 = true;
static boolean fill2 = true;
static boolean useBW = true;
private boolean useLocal = true;
boolean convertToMask;
private String method = methods[0];
private String background = backgrounds[0];
private static boolean staticUseLocal = true;
private static String staticMethod = methods[0];
private static String staticBackground = backgrounds[0];
private ImagePlus imp;
private Vector choices;
public void run(String arg) {
convertToMask = arg.equals("mask");
skipDialog = arg.equals("skip") || convertToMask;
ImagePlus imp = WindowManager.getCurrentImage();
if (imp==null)
{IJ.noImage(); return;}
if (imp.getStackSize()==1) {
Undo.setup(Undo.COMPOUND_FILTER, imp);
applyThreshold(imp);
Undo.setup(Undo.COMPOUND_FILTER_DONE, imp);
} else
convertStack(imp);
}
void convertStack(ImagePlus imp) {
if (imp.getStack().isVirtual()) {
IJ.error("Thresholder", "This command does not work with virtual stacks.\nUse Image>Duplicate to convert to a normal stack.");
return;
}
boolean thresholdSet = imp.getProcessor().getMinThreshold()!=ImageProcessor.NO_THRESHOLD;
this.imp = imp;
if (!IJ.isMacro()) {
method = staticMethod;
background = staticBackground;
useLocal = staticUseLocal;
if (!thresholdSet)
updateThreshold(imp);
}
if (thresholdSet)
useLocal = false;
GenericDialog gd = new GenericDialog("Convert Stack to Binary");
gd.addChoice("Method:", methods, method);
gd.addChoice("Background:", backgrounds, background);
gd.addCheckbox("Calculate threshold for each image", useLocal);
gd.addCheckbox("Black background (mask)", Prefs.blackBackground);
choices = gd.getChoices();
((Choice)choices.elementAt(0)).addItemListener(this);
((Choice)choices.elementAt(1)).addItemListener(this);
gd.showDialog();
if (gd.wasCanceled())
return;
this.imp = null;
method = gd.getNextChoice();
background = gd.getNextChoice();
useLocal = gd.getNextBoolean();
boolean saveBlackBackground = Prefs.blackBackground;
Prefs.blackBackground = gd.getNextBoolean();
if (!IJ.isMacro()) {
staticMethod = method;
staticBackground = background;
staticUseLocal = useLocal;
}
Undo.reset();
if (useLocal)
convertStackToBinary(imp);
else
applyThreshold(imp);
Prefs.blackBackground = saveBlackBackground;
}
public void applyThreshold(ImagePlus imp) {
imp.deleteRoi();
ImageProcessor ip = imp.getProcessor();
ip.resetBinaryThreshold();
int type = imp.getType();
if (type==ImagePlus.GRAY16 || type==ImagePlus.GRAY32) {
applyShortOrFloatThreshold(imp);
return;
}
if (!imp.lock()) return;
double saveMinThreshold = ip.getMinThreshold();
double saveMaxThreshold = ip.getMaxThreshold();
autoThreshold = saveMinThreshold==ImageProcessor.NO_THRESHOLD;
boolean useBlackAndWhite = true;
boolean noArgMacro =IJ.macroRunning() && Macro.getOptions()==null;
if (skipDialog)
fill1 = fill2 = useBlackAndWhite = true;
else if (!(autoThreshold||noArgMacro)) {
GenericDialog gd = new GenericDialog("Make Binary");
gd.addCheckbox("Thresholded pixels to foreground color", fill1);
gd.addCheckbox("Remaining pixels to background color", fill2);
gd.addMessage("");
gd.addCheckbox("Black foreground, white background", useBW);
gd.showDialog();
if (gd.wasCanceled())
{imp.unlock(); return;}
fill1 = gd.getNextBoolean();
fill2 = gd.getNextBoolean();
useBW = useBlackAndWhite = gd.getNextBoolean();
} else {
fill1 = fill2 = true;
convertToMask = true;
}
if (type!=ImagePlus.GRAY8)
convertToByte(imp);
ip = imp.getProcessor();
if (autoThreshold)
autoThreshold(ip);
else {
if (Recorder.record && !Recorder.scriptMode() && (!IJ.isMacro()||Recorder.recordInMacros))
Recorder.record("setThreshold", (int)saveMinThreshold, (int)saveMaxThreshold);
minThreshold = saveMinThreshold;
maxThreshold = saveMaxThreshold;
}
if (convertToMask && ip.isColorLut())
ip.setColorModel(ip.getDefaultColorModel());
int fcolor, bcolor;
ip.resetThreshold();
int savePixel = ip.getPixel(0,0);
if (useBlackAndWhite)
ip.setColor(Color.black);
else
ip.setColor(Toolbar.getForegroundColor());
ip.drawPixel(0,0);
fcolor = ip.getPixel(0,0);
if (useBlackAndWhite)
ip.setColor(Color.white);
else
ip.setColor(Toolbar.getBackgroundColor());
ip.drawPixel(0,0);
bcolor = ip.getPixel(0,0);
ip.setColor(Toolbar.getForegroundColor());
ip.putPixel(0,0,savePixel);
int[] lut = new int[256];
for (int i=0; i<256; i++) {
if (i>=minThreshold && i<=maxThreshold)
lut[i] = fill1?fcolor:(byte)i;
else {
lut[i] = fill2?bcolor:(byte)i;
}
}
if (imp.getStackSize()>1)
new StackProcessor(imp.getStack(), ip).applyTable(lut);
else
ip.applyTable(lut);
if (convertToMask) {
if (!imp.isInvertedLut()) {
setInvertedLut(imp);
fcolor = 255 - fcolor;
bcolor = 255 - bcolor;
}
if (Prefs.blackBackground)
ip.invertLut();
}
if (fill1 && fill2 && ((fcolor==0&&bcolor==255)||(fcolor==255&&bcolor==0)))
imp.getProcessor().setThreshold(fcolor, fcolor, ImageProcessor.NO_LUT_UPDATE);
imp.updateAndRepaintWindow();
imp.unlock();
}
void applyShortOrFloatThreshold(ImagePlus imp) {
if (!imp.lock()) return;
int width = imp.getWidth();
int height = imp.getHeight();
int size = width*height;
boolean isFloat = imp.getType()==ImagePlus.GRAY32;
int nSlices = imp.getStackSize();
ImageStack stack1 = imp.getStack();
ImageStack stack2 = new ImageStack(width, height);
ImageProcessor ip = imp.getProcessor();
float t1 = (float)ip.getMinThreshold();
float t2 = (float)ip.getMaxThreshold();
if (t1==ImageProcessor.NO_THRESHOLD) {
//ip.resetMinAndMax();
double min = ip.getMin();
double max = ip.getMax();
ip = ip.convertToByte(true);
autoThreshold(ip);
t1 = (float)(min + (max-min)*(minThreshold/255.0));
t2 = (float)(min + (max-min)*(maxThreshold/255.0));
}
float value;
ImageProcessor ip1, ip2;
IJ.showStatus("Converting to mask");
for(int i=1; i<=nSlices; i++) {
IJ.showProgress(i, nSlices);
String label = stack1.getSliceLabel(i);
ip1 = stack1.getProcessor(i);
ip2 = new ByteProcessor(width, height);
for (int j=0; j=t1 && value<=t2)
ip2.set(j, 255);
else
ip2.set(j, 0);
}
stack2.addSlice(label, ip2);
}
imp.setStack(null, stack2);
ImageStack stack = imp.getStack();
stack.setColorModel(LookUpTable.createGrayscaleColorModel(!Prefs.blackBackground));
imp.setStack(null, stack);
if (imp.isComposite()) {
CompositeImage ci = (CompositeImage)imp;
ci.setMode(CompositeImage.GRAYSCALE);
ci.resetDisplayRanges();
ci.updateAndDraw();
}
imp.getProcessor().setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
IJ.showStatus("");
imp.unlock();
}
void convertStackToBinary(ImagePlus imp) {
int nSlices = imp.getStackSize();
if ((imp.getBitDepth()!=8)) {
IJ.showStatus("Converting to byte");
ImageStack stack1 = imp.getStack();
ImageStack stack2 = new ImageStack(imp.getWidth(), imp.getHeight());
for (int i=1; i<=nSlices; i++) {
IJ.showProgress(i, nSlices);
String label = stack1.getSliceLabel(i);
ImageProcessor ip = stack1.getProcessor(i);
ip.resetMinAndMax();
stack2.addSlice(label, ip.convertToByte(true));
}
imp.setStack(null, stack2);
}
ImageStack stack = imp.getStack();
IJ.showStatus("Auto-thresholding");
for (int i=1; i<=nSlices; i++) {
IJ.showProgress(i, nSlices);
ImageProcessor ip = stack.getProcessor(i);
if (method.equals("Default") && background.equals("Default"))
ip.setAutoThreshold(ImageProcessor.ISODATA2, ImageProcessor.NO_LUT_UPDATE);
else
ip.setAutoThreshold(method, !background.equals("Light"), ImageProcessor.NO_LUT_UPDATE);
minThreshold = ip.getMinThreshold();
maxThreshold = ip.getMaxThreshold();
int[] lut = new int[256];
for (int j=0; j<256; j++) {
if (j>=minThreshold && j<=maxThreshold)
lut[j] = (byte)255;
else
lut[j] = 0;
}
ip.applyTable(lut);
}
stack.setColorModel(LookUpTable.createGrayscaleColorModel(!Prefs.blackBackground));
imp.setStack(null, stack);
imp.getProcessor().setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
if (imp.isComposite()) {
CompositeImage ci = (CompositeImage)imp;
ci.setMode(CompositeImage.GRAYSCALE);
ci.resetDisplayRanges();
ci.updateAndDraw();
}
IJ.showStatus("");
}
void convertToByte(ImagePlus imp) {
ImageProcessor ip;
int currentSlice = imp.getCurrentSlice();
ImageStack stack1 = imp.getStack();
ImageStack stack2 = imp.createEmptyStack();
int nSlices = imp.getStackSize();
String label;
for(int i=1; i<=nSlices; i++) {
label = stack1.getSliceLabel(i);
ip = stack1.getProcessor(i);
ip.setMinAndMax(0, 255);
stack2.addSlice(label, ip.convertToByte(true));
}
imp.setStack(null, stack2);
imp.setSlice(currentSlice);
imp.setCalibration(imp.getCalibration()); //update calibration
}
void setInvertedLut(ImagePlus imp) {
ImageProcessor ip = imp.getProcessor();
ip.invertLut();
int nImages = imp.getStackSize();
if (nImages==1)
ip.invert();
else {
ImageStack stack = imp.getStack();
for (int slice=1; slice<=nImages; slice++)
stack.getProcessor(slice).invert();
stack.setColorModel(ip.getColorModel());
}
}
void autoThreshold(ImageProcessor ip) {
ip.setAutoThreshold(ImageProcessor.ISODATA2, ImageProcessor.NO_LUT_UPDATE);
minThreshold = ip.getMinThreshold();
maxThreshold = ip.getMaxThreshold();
if (IJ.debugMode) IJ.log("Thresholder: "+minThreshold+"-"+maxThreshold);
}
public static void setMethod(String method) {
staticMethod = method;
}
public static void setBackground(String background) {
staticBackground = background;
}
public void itemStateChanged(ItemEvent e) {
if (imp==null)
return;
Choice choice = (Choice)e.getSource();
if (choice==choices.elementAt(0))
method = choice.getSelectedItem();
else
background = choice.getSelectedItem();
updateThreshold(imp);
}
private void updateThreshold(ImagePlus imp) {
ImageProcessor ip = imp.getProcessor();
if (method.equals("Default") && background.equals("Default"))
ip.setAutoThreshold(ImageProcessor.ISODATA2, ImageProcessor.RED_LUT);
else
ip.setAutoThreshold(method, !background.equals("Light"), ImageProcessor.RED_LUT);
imp.updateAndDraw();
}
}