/** Quit using a separate thread, hopefully avoiding thread deadlocks. */
public void run() {
quitting = true;
boolean changes = false;
int[] wList = WindowManager.getIDList();
if (wList != null) {
for (int i = 0; i < wList.length; i++) {
ImagePlus imp = WindowManager.getImage(wList[i]);
if (imp != null && imp.changes == true) {
changes = true;
break;
}
}
}
Frame[] frames = WindowManager.getNonImageWindows();
if (frames != null) {
for (int i = 0; i < frames.length; i++) {
if (frames[i] != null && (frames[i] instanceof Editor)) {
if (((Editor) frames[i]).fileChanged()) {
changes = true;
break;
}
}
}
}
if (windowClosed
&& !changes
&& Menus.window.getItemCount() > Menus.WINDOW_MENU_ITEMS
&& !(IJ.macroRunning() && WindowManager.getImageCount() == 0)) {
GenericDialog gd = new GenericDialog("ImageJ", this);
gd.addMessage("Are you sure you want to quit ImageJ?");
gd.showDialog();
quitting = !gd.wasCanceled();
windowClosed = false;
}
if (!quitting) return;
if (!WindowManager.closeAllWindows()) {
quitting = false;
return;
}
// IJ.log("savePreferences");
if (applet == null) {
saveWindowLocations();
Prefs.savePreferences();
}
IJ.cleanup();
// setVisible(false);
// IJ.log("dispose");
dispose();
if (exitWhenQuitting) System.exit(0);
}
public String[] getOpenImageNames() {
int[] imageIDList = WindowManager.getIDList();
String[] imageNames = new String[imageIDList.length];
// imageNames[0] = "None";
if (!imageIDList.equals(null) && imageIDList.length > 1) {
for (int i = 0; i < imageIDList.length; i++) {
ImagePlus tempIMP = WindowManager.getImage(imageIDList[i]);
imageNames[i] = tempIMP.getTitle();
}
return imageNames;
} else {
imageNames[0] = "None";
return imageNames;
}
}
private boolean showDialog() {
String[] types = {"RAW", "JPEG", "ZLIB"};
GenericDialog gd = new GenericDialog("Generate Bricks");
gd.addChoice("FileType", types, filetype);
gd.addNumericField("JPEG quality", jpeg_quality, 0);
gd.addNumericField("Max file size (MB)", bdsizelimit, 0);
int[] wlist = WindowManager.getIDList();
if (wlist == null) return false;
String[] titles = new String[wlist.length];
for (int i = 0; i < wlist.length; i++) titles[i] = "";
int tnum = 0;
for (int i = 0; i < wlist.length; i++) {
ImagePlus imp = WindowManager.getImage(wlist[i]);
if (imp != null) {
titles[tnum] = imp.getTitle();
tnum++;
}
}
gd.addChoice("Source image: ", titles, titles[0]);
gd.showDialog();
if (gd.wasCanceled()) return false;
filetype = types[gd.getNextChoiceIndex()];
jpeg_quality = (int) gd.getNextNumber();
if (jpeg_quality > 100) jpeg_quality = 100;
if (jpeg_quality < 0) jpeg_quality = 0;
bdsizelimit = (int) gd.getNextNumber();
int id = gd.getNextChoiceIndex();
lvImgTitle = new ArrayList<String>();
lvImgTitle.add(titles[id]);
Prefs.set("filetype.string", filetype);
Prefs.set("jpeg_quality.int", jpeg_quality);
Prefs.set("bdsizelimit.int", bdsizelimit);
return true;
}
void addImage() {
ImagePlus imp = IJ.getImage();
int[] wList = WindowManager.getIDList();
if (wList == null || wList.length < 2) {
IJ.error("Add Image...", "The command requires at least two open images.");
return;
}
String[] titles = new String[wList.length];
for (int i = 0; i < wList.length; i++) {
ImagePlus imp2 = WindowManager.getImage(wList[i]);
titles[i] = imp2 != null ? imp2.getTitle() : "";
}
int x = 0, y = 0;
Roi roi = imp.getRoi();
if (roi != null && roi.isArea()) {
Rectangle r = roi.getBounds();
x = r.x;
y = r.y;
}
int index = 0;
if (wList.length == 2) {
ImagePlus i1 = WindowManager.getImage(wList[0]);
ImagePlus i2 = WindowManager.getImage(wList[1]);
if (i2.getWidth() < i1.getWidth() && i2.getHeight() < i1.getHeight()) index = 1;
} else if (imp.getID() == wList[0]) index = 1;
GenericDialog gd = new GenericDialog("Add Image...");
gd.addChoice("Image to add:", titles, titles[index]);
gd.addNumericField("X location:", x, 0);
gd.addNumericField("Y location:", y, 0);
gd.addNumericField("Opacity (0-100%):", 100, 0);
gd.addCheckbox("Create image selection", createImageRoi);
gd.showDialog();
if (gd.wasCanceled()) return;
index = gd.getNextChoiceIndex();
x = (int) gd.getNextNumber();
y = (int) gd.getNextNumber();
double opacity = gd.getNextNumber() / 100.0;
createImageRoi = gd.getNextBoolean();
ImagePlus overlay = WindowManager.getImage(wList[index]);
if (wList.length == 2) {
ImagePlus i1 = WindowManager.getImage(wList[0]);
ImagePlus i2 = WindowManager.getImage(wList[1]);
if (i2.getWidth() < i1.getWidth() && i2.getHeight() < i1.getHeight()) {
imp = i1;
overlay = i2;
}
}
if (overlay == imp) {
IJ.error(
"Add Image...", "Image to be added cannot be the same as\n\"" + imp.getTitle() + "\".");
return;
}
if (overlay.getWidth() > imp.getWidth() && overlay.getHeight() > imp.getHeight()) {
IJ.error(
"Add Image...", "Image to be added cannnot be larger than\n\"" + imp.getTitle() + "\".");
return;
}
if (createImageRoi && x == 0 && y == 0) {
x = imp.getWidth() / 2 - overlay.getWidth() / 2;
y = imp.getHeight() / 2 - overlay.getHeight() / 2;
}
roi = new ImageRoi(x, y, overlay.getProcessor());
roi.setName(overlay.getShortTitle());
if (opacity != 1.0) ((ImageRoi) roi).setOpacity(opacity);
if (createImageRoi) imp.setRoi(roi);
else {
Overlay overlayList = imp.getOverlay();
if (overlayList == null) overlayList = new Overlay();
overlayList.add(roi);
imp.setOverlay(overlayList);
overlay2 = overlayList;
Undo.setup(Undo.OVERLAY_ADDITION, imp);
}
}
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"); }