/**
* 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;
}
/**
* Prepare for processing; also called at the very end with argument 'final' to show any newly
* created output image.
*/
public int setup(String arg, ImagePlus imp) {
if (arg.equals("final")) {
showOutput();
return DONE;
}
this.imp = imp;
// 'arg' is processing type; default is 'EDM' (0)
if (arg.equals("watershed")) {
processType = WATERSHED;
flags += KEEP_THRESHOLD;
} else if (arg.equals("points")) processType = UEP;
else if (arg.equals("voronoi")) processType = VORONOI;
// output type
if (processType != WATERSHED) // Watershed always has output BYTE_OVERWRITE=0
outImageType = outputType; // otherwise use the static variable from setOutputType
if (outImageType != BYTE_OVERWRITE) flags |= NO_CHANGES;
// check image and prepare
if (imp != null) {
ImageProcessor ip = imp.getProcessor();
if (!ip.isBinary()) {
IJ.error("8-bit binary image (0 and 255) required.");
return DONE;
}
ip.resetRoi();
// processing routines assume background=0; image may be otherwise
boolean invertedLut = imp.isInvertedLut();
background255 =
(invertedLut && Prefs.blackBackground) || (!invertedLut && !Prefs.blackBackground);
}
return flags;
} // public int setup
void showDialog() {
int width = imp.getWidth();
int height = imp.getHeight();
Calibration cal = imp.getCalibration();
int places;
if (cal.scaled()) {
pixelWidth = cal.pixelWidth;
pixelHeight = cal.pixelHeight;
units = cal.getUnits();
places = 2;
} else {
pixelWidth = 1.0;
pixelHeight = 1.0;
units = "pixels";
places = 0;
}
if (areaPerPoint == 0.0)
areaPerPoint =
(width * cal.pixelWidth * height * cal.pixelHeight) / 81.0; // default to 9x9 grid
ImageWindow win = imp.getWindow();
GenericDialog gd = new GenericDialog("Grid...");
gd.addChoice("Grid Type:", types, type);
gd.addNumericField("Area per Point:", areaPerPoint, places, 6, units + "^2");
gd.addChoice("Color:", colors, color);
gd.addCheckbox("Random Offset", randomOffset);
gd.addDialogListener(this);
gd.showDialog();
if (gd.wasCanceled()) showGrid(null);
}
private ImagePlus duplicateImage(ImageProcessor iProcessor) {
int w = iProcessor.getWidth();
int h = iProcessor.getHeight();
ImagePlus iPlus = NewImage.createByteImage("Image", w, h, 1, NewImage.FILL_BLACK);
ImageProcessor imageProcessor = iPlus.getProcessor();
imageProcessor.copyBits(iProcessor, 0, 0, Blitter.COPY);
return iPlus;
}
void Bernsen(ImagePlus imp, int radius, double par1, double par2, boolean doIwhite) {
// Bernsen recommends WIN_SIZE = 31 and CONTRAST_THRESHOLD = 15.
// 1) Bernsen J. (1986) "Dynamic Thresholding of Grey-Level Images"
// Proc. of the 8th Int. Conf. on Pattern Recognition, pp. 1251-1255
// 2) Sezgin M. and Sankur B. (2004) "Survey over Image Thresholding
// Techniques and Quantitative Performance Evaluation" Journal of
// Electronic Imaging, 13(1): 146-165
// http://citeseer.ist.psu.edu/sezgin04survey.html
// Ported to ImageJ plugin from E Celebi's fourier_0.8 routines
// This version uses a circular local window, instead of a rectagular one
ImagePlus Maximp, Minimp;
ImageProcessor ip = imp.getProcessor(), ipMax, ipMin;
int contrast_threshold = 15;
int local_contrast;
int mid_gray;
byte object;
byte backg;
int temp;
if (par1 != 0) {
IJ.log("Bernsen: changed contrast_threshold from :" + contrast_threshold + " to:" + par1);
contrast_threshold = (int) par1;
}
if (doIwhite) {
object = (byte) 0xff;
backg = (byte) 0;
} else {
object = (byte) 0;
backg = (byte) 0xff;
}
Maximp = duplicateImage(ip);
ipMax = Maximp.getProcessor();
RankFilters rf = new RankFilters();
rf.rank(ipMax, radius, rf.MAX); // Maximum
// Maximp.show();
Minimp = duplicateImage(ip);
ipMin = Minimp.getProcessor();
rf.rank(ipMin, radius, rf.MIN); // Minimum
// Minimp.show();
byte[] pixels = (byte[]) ip.getPixels();
byte[] max = (byte[]) ipMax.getPixels();
byte[] min = (byte[]) ipMin.getPixels();
for (int i = 0; i < pixels.length; i++) {
local_contrast = (int) ((max[i] & 0xff) - (min[i] & 0xff));
mid_gray = (int) ((min[i] & 0xff) + (max[i] & 0xff)) / 2;
temp = (int) (pixels[i] & 0x0000ff);
if (local_contrast < contrast_threshold)
pixels[i] = (mid_gray >= 128) ? object : backg; // Low contrast region
else pixels[i] = (temp >= mid_gray) ? object : backg;
}
// imp.updateAndDraw();
return;
}
private boolean ignoreArrowKeys(ImagePlus imp) {
Frame frame = WindowManager.getFrontWindow();
String title = frame.getTitle();
if (title != null && title.equals("ROI Manager")) return true;
// Control Panel?
if (frame != null && frame instanceof javax.swing.JFrame) return true;
ImageWindow win = imp.getWindow();
// LOCI Data Browser window?
if (imp.getStackSize() > 1 && win != null && win.getClass().getName().startsWith("loci"))
return true;
return false;
}
/**
* Called by the PlugInFilterRunner after setup. Asks the user in case of a stack and prepares a
* separate ouptut stack if required
*/
public int showDialog(ImagePlus imp, String command, PlugInFilterRunner pfr) {
this.pfr = pfr;
int width = imp.getWidth();
int height = imp.getHeight();
// ask whether to process all slices of stack & prepare stack
// (if required) for writing into it in parallel threads
flags = IJ.setupDialog(imp, flags);
if ((flags & DOES_STACKS) != 0 && outImageType != BYTE_OVERWRITE) {
outStack = new ImageStack(width, height, imp.getStackSize());
maxFinder.setNPasses(imp.getStackSize());
}
return flags;
} // public int showDialog
/**
* Attempts to open the specified path with the given plugin. If the plugin extends the ImagePlus
* class (e.g., BioRad_Reader), set extendsImagePlus to true, otherwise (e.g., LSM_Reader) set it
* to false.
*
* @return A reference to the plugin, if it was successful.
*/
private Object tryPlugIn(String className, String path) {
Object o = IJ.runPlugIn(className, path);
if (o instanceof ImagePlus) {
// plugin extends ImagePlus class
ImagePlus imp = (ImagePlus) o;
if (imp.getWidth() == 0) o = null; // invalid image
else width = IMAGE_OPENED; // success
} else {
// plugin does not extend ImagePlus; assume success
width = IMAGE_OPENED;
}
return o;
}
/** Set display range for each channel to min-max. */
private static void displayMinToMax(ImagePlus imp) {
if (imp.isComposite()) {
for (int c = 1; c <= imp.getNChannels(); c++) {
double min = I1l.getStatsForChannel(imp, c).min;
double max = I1l.getStatsForChannel(imp, c).max;
imp.setC(c);
IJ.setMinAndMax(imp, min, max);
}
imp.setC(1);
} else {
double min = imp.getStatistics().min;
double max = imp.getStatistics().max;
IJ.setMinAndMax(imp, min, max);
}
}
void drawLines() {
GeneralPath path = new GeneralPath();
int width = imp.getWidth();
int height = imp.getHeight();
for (int i = 0; i < linesV; i++) {
float xoff = (float) (xstart + i * tileWidth);
path.moveTo(xoff, 0f);
path.lineTo(xoff, height);
}
for (int i = 0; i < linesH; i++) {
float yoff = (float) (ystart + i * tileHeight);
path.moveTo(0f, yoff);
path.lineTo(width, yoff);
}
showGrid(path);
}
void Contrast(ImagePlus imp, int radius, double par1, double par2, boolean doIwhite) {
// G. Landini, 2013
// Based on a simple contrast toggle. This procedure does not have user-provided paramters other
// than the kernel radius
// Sets the pixel value to either white or black depending on whether its current value is
// closest to the local Max or Min respectively
// The procedure is similar to Toggle Contrast Enhancement (see Soille, Morphological Image
// Analysis (2004), p. 259
ImagePlus Maximp, Minimp;
ImageProcessor ip = imp.getProcessor(), ipMax, ipMin;
int c_value = 0;
int mid_gray;
byte object;
byte backg;
if (doIwhite) {
object = (byte) 0xff;
backg = (byte) 0;
} else {
object = (byte) 0;
backg = (byte) 0xff;
}
Maximp = duplicateImage(ip);
ipMax = Maximp.getProcessor();
RankFilters rf = new RankFilters();
rf.rank(ipMax, radius, rf.MAX); // Maximum
// Maximp.show();
Minimp = duplicateImage(ip);
ipMin = Minimp.getProcessor();
rf.rank(ipMin, radius, rf.MIN); // Minimum
// Minimp.show();
byte[] pixels = (byte[]) ip.getPixels();
byte[] max = (byte[]) ipMax.getPixels();
byte[] min = (byte[]) ipMin.getPixels();
for (int i = 0; i < pixels.length; i++) {
pixels[i] =
((Math.abs((int) (max[i] & 0xff - pixels[i] & 0xff))
<= Math.abs((int) (pixels[i] & 0xff - min[i] & 0xff))))
? object
: backg;
}
// imp.updateAndDraw();
return;
}
/**
* Execute the plugin functionality: duplicate and scale the given image.
*
* @return an Object[] array with the name and the scaled ImagePlus. Does NOT show the new, image;
* just returns it.
*/
public Object[] exec(
ImagePlus imp, String myMethod, int radius, double par1, double par2, boolean doIwhite) {
// 0 - Check validity of parameters
if (null == imp) return null;
ImageProcessor ip = imp.getProcessor();
int xe = ip.getWidth();
int ye = ip.getHeight();
// int [] data = (ip.getHistogram());
IJ.showStatus("Thresholding...");
long startTime = System.currentTimeMillis();
// 1 Do it
if (imp.getStackSize() == 1) {
ip.snapshot();
Undo.setup(Undo.FILTER, imp);
}
// Apply the selected algorithm
if (myMethod.equals("Bernsen")) {
Bernsen(imp, radius, par1, par2, doIwhite);
} else if (myMethod.equals("Contrast")) {
Contrast(imp, radius, par1, par2, doIwhite);
} else if (myMethod.equals("Mean")) {
Mean(imp, radius, par1, par2, doIwhite);
} else if (myMethod.equals("Median")) {
Median(imp, radius, par1, par2, doIwhite);
} else if (myMethod.equals("MidGrey")) {
MidGrey(imp, radius, par1, par2, doIwhite);
} else if (myMethod.equals("Niblack")) {
Niblack(imp, radius, par1, par2, doIwhite);
} else if (myMethod.equals("Otsu")) {
Otsu(imp, radius, par1, par2, doIwhite);
} else if (myMethod.equals("Phansalkar")) {
Phansalkar(imp, radius, par1, par2, doIwhite);
} else if (myMethod.equals("Sauvola")) {
Sauvola(imp, radius, par1, par2, doIwhite);
}
// IJ.showProgress((double)(255-i)/255);
imp.updateAndDraw();
imp.getProcessor().setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
// 2 - Return the threshold and the image
IJ.showStatus("\nDone " + (System.currentTimeMillis() - startTime) / 1000.0);
return new Object[] {imp};
}
void MidGrey(ImagePlus imp, int radius, double par1, double par2, boolean doIwhite) {
// See: Image Processing Learning Resourches HIPR2
// http://homepages.inf.ed.ac.uk/rbf/HIPR2/adpthrsh.htm
ImagePlus Maximp, Minimp;
ImageProcessor ip = imp.getProcessor(), ipMax, ipMin;
int c_value = 0;
int mid_gray;
byte object;
byte backg;
if (par1 != 0) {
IJ.log("MidGrey: changed c_value from :" + c_value + " to:" + par1);
c_value = (int) par1;
}
if (doIwhite) {
object = (byte) 0xff;
backg = (byte) 0;
} else {
object = (byte) 0;
backg = (byte) 0xff;
}
Maximp = duplicateImage(ip);
ipMax = Maximp.getProcessor();
RankFilters rf = new RankFilters();
rf.rank(ipMax, radius, rf.MAX); // Maximum
// Maximp.show();
Minimp = duplicateImage(ip);
ipMin = Minimp.getProcessor();
rf.rank(ipMin, radius, rf.MIN); // Minimum
// Minimp.show();
byte[] pixels = (byte[]) ip.getPixels();
byte[] max = (byte[]) ipMax.getPixels();
byte[] min = (byte[]) ipMin.getPixels();
for (int i = 0; i < pixels.length; i++) {
pixels[i] =
((int) (pixels[i] & 0xff) > (int) (((max[i] & 0xff) + (min[i] & 0xff)) / 2) - c_value)
? object
: backg;
}
// imp.updateAndDraw();
return;
}
public void run(String arg) {
int[] wList = WindowManager.getIDList();
if (wList == null) {
IJ.error("No images are open.");
return;
}
double thalf = 0.5;
boolean keep;
GenericDialog gd = new GenericDialog("Bleach correction");
gd.addNumericField("t½:", thalf, 1);
gd.addCheckbox("Keep source stack:", true);
gd.showDialog();
if (gd.wasCanceled()) return;
long start = System.currentTimeMillis();
thalf = gd.getNextNumber();
keep = gd.getNextBoolean();
if (keep) IJ.run("Duplicate...", "title='Bleach corrected' duplicate");
ImagePlus imp1 = WindowManager.getCurrentImage();
int d1 = imp1.getStackSize();
double v1, v2;
int width = imp1.getWidth();
int height = imp1.getHeight();
ImageProcessor ip1, ip2, ip3;
int slices = imp1.getStackSize();
ImageStack stack1 = imp1.getStack();
ImageStack stack2 = imp1.getStack();
int currentSlice = imp1.getCurrentSlice();
for (int n = 1; n <= slices; n++) {
ip1 = stack1.getProcessor(n);
ip3 = stack1.getProcessor(1);
ip2 = stack2.getProcessor(n);
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
v1 = ip1.getPixelValue(x, y);
v2 = ip3.getPixelValue(x, y);
// =B8/(EXP(-C$7*A8))
v1 = (v1 / Math.exp(-n * thalf));
ip2.putPixelValue(x, y, v1);
}
}
IJ.showProgress((double) n / slices);
IJ.showStatus(n + "/" + slices);
}
// stack2.show();
imp1.updateAndDraw();
}
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;
}
private boolean deleteOverlayRoi(ImagePlus imp) {
if (imp == null) return false;
Overlay overlay = null;
ImageCanvas ic = imp.getCanvas();
if (ic != null) overlay = ic.getShowAllList();
if (overlay == null) overlay = imp.getOverlay();
if (overlay == null) return false;
Roi roi = imp.getRoi();
for (int i = 0; i < overlay.size(); i++) {
Roi roi2 = overlay.get(i);
if (roi2 == roi) {
overlay.remove(i);
imp.deleteRoi();
ic = imp.getCanvas();
if (ic != null) ic.roiManagerSelect(roi, true);
return true;
}
}
return false;
}
ImagePlus duplicateStack(ImagePlus img1) {
ImageStack stack1 = img1.getStack();
int width = stack1.getWidth();
int height = stack1.getHeight();
int n = stack1.getSize();
ImageStack stack2 = img1.createEmptyStack();
try {
for (int i = 1; i <= n; i++) {
ImageProcessor ip1 = stack1.getProcessor(i);
ip1.resetRoi();
ImageProcessor ip2 = ip1.crop();
stack2.addSlice(stack1.getSliceLabel(i), ip2);
}
} catch (OutOfMemoryError e) {
stack2.trim();
stack2 = null;
return null;
}
return new ImagePlus("Duplicate", stack2);
}
void abortPluginOrMacro(ImagePlus imp) {
if (imp != null) {
ImageWindow win = imp.getWindow();
if (win != null) {
win.running = false;
win.running2 = false;
}
}
Macro.abort();
Interpreter.abort();
if (Interpreter.getInstance() != null) IJ.beep();
}
public boolean beadCalibration3d() {
imp = IJ.getImage();
if (imp == null) {
IJ.noImage();
return false;
} else if (imp.getStackSize() == 1) {
IJ.error("Stack required");
return false;
} else if (imp.getType() != ImagePlus.GRAY8 && imp.getType() != ImagePlus.GRAY16) {
// In order to support 32bit images, pict[] must be changed to float[], and getPixel(x, y);
// requires a Float.intBitsToFloat() conversion
IJ.error("8 or 16 bit greyscale image required");
return false;
}
width = imp.getWidth();
height = imp.getHeight();
nslices = imp.getStackSize();
imtitle = imp.getTitle();
models[0] = "*None*";
models[1] = "line";
models[2] = "2nd degree polynomial";
models[3] = "3rd degree polynomial";
models[4] = "4th degree polynomial";
GenericDialog gd = new GenericDialog("3D PALM calibration");
gd.addNumericField("Maximum FWHM (in px)", prefs.get("QuickPALM.3Dcal_fwhm", 20), 0);
gd.addNumericField(
"Particle local threshold (% maximum intensity)", prefs.get("QuickPALM.pthrsh", 20), 0);
gd.addNumericField("Z-spacing (nm)", prefs.get("QuickPALM.z-step", 10), 2);
gd.addNumericField("Calibration Z-smoothing (radius)", prefs.get("QuickPALM.window", 1), 0);
gd.addChoice("Model", models, prefs.get("QuickPALM.model", models[3]));
gd.addCheckbox(
"Show divergence of bead positions against model",
prefs.get("QuickPALM.3Dcal_showDivergence", false));
gd.addCheckbox("Show extra particle info", prefs.get("QuickPALM.3Dcal_showExtraInfo", false));
gd.addMessage("\n\nDon't forget to save the table in the end...");
gd.showDialog();
if (gd.wasCanceled()) return false;
fwhm = gd.getNextNumber();
prefs.set("QuickPALM.QuickPALM.3Dcal_fwhm", fwhm);
pthrsh = gd.getNextNumber() / 100;
prefs.set("QuickPALM.pthrsh", pthrsh * 100);
cal_z = gd.getNextNumber();
prefs.set("QuickPALM.z-step", cal_z);
window = (int) gd.getNextNumber();
prefs.set("QuickPALM.window", window);
model = gd.getNextChoice();
prefs.set("QuickPALM.model", model);
part_divergence = gd.getNextBoolean();
prefs.set("QuickPALM.3Dcal_showDivergence", part_divergence);
part_extrainfo = gd.getNextBoolean();
prefs.set("QuickPALM.3Dcal_showExtraInfo", part_extrainfo);
return true;
}
public void run(String arg) {
ImagePlus imp = WindowManager.getCurrentImage();
if (imp == null) {
IJ.noImage();
return;
}
if (imp.getStackSize() > 1) {
IJ.error("This command requires a montage");
return;
}
GenericDialog gd = new GenericDialog("Stack Maker");
gd.addNumericField("Images_per_row: ", w, 0);
gd.addNumericField("Images_per_column: ", h, 0);
gd.addNumericField("Border width: ", b, 0);
gd.showDialog();
if (gd.wasCanceled()) return;
w = (int) gd.getNextNumber();
h = (int) gd.getNextNumber();
b = (int) gd.getNextNumber();
ImageStack stack = makeStack(imp.getProcessor(), w, h, b);
new ImagePlus("Stack", stack).show();
}
public void run() {
while (!done) {
synchronized (this) {
try {
wait();
} catch (InterruptedException e) {
}
reset(imp, ip); // GL
apply(imp, ip); // GL
imp.updateAndDraw(); // GL
}
}
}
void Mean(ImagePlus imp, int radius, double par1, double par2, boolean doIwhite) {
// See: Image Processing Learning Resourches HIPR2
// http://homepages.inf.ed.ac.uk/rbf/HIPR2/adpthrsh.htm
ImagePlus Meanimp;
ImageProcessor ip = imp.getProcessor(), ipMean;
int c_value = 0;
byte object;
byte backg;
if (par1 != 0) {
IJ.log("Mean: changed c_value from :" + c_value + " to:" + par1);
c_value = (int) par1;
}
if (doIwhite) {
object = (byte) 0xff;
backg = (byte) 0;
} else {
object = (byte) 0;
backg = (byte) 0xff;
}
Meanimp = duplicateImage(ip);
ImageConverter ic = new ImageConverter(Meanimp);
ic.convertToGray32();
ipMean = Meanimp.getProcessor();
RankFilters rf = new RankFilters();
rf.rank(ipMean, radius, rf.MEAN); // Mean
// Meanimp.show();
byte[] pixels = (byte[]) ip.getPixels();
float[] mean = (float[]) ipMean.getPixels();
for (int i = 0; i < pixels.length; i++)
pixels[i] = ((int) (pixels[i] & 0xff) > (int) (mean[i] - c_value)) ? object : backg;
// imp.updateAndDraw();
return;
}
public void actionPerformed(ActionEvent e) {
Button b = (Button) e.getSource();
if (b == null) return;
boolean imageThere = checkImage();
if (imageThere) {
if (b == originalB) {
reset(imp, ip);
filteredB.setEnabled(true);
} else if (b == filteredB) {
apply(imp, ip);
} else if (b == sampleB) {
reset(imp, ip);
sample();
apply(imp, ip);
} else if (b == stackB) {
applyStack();
} else if (b == helpB) {
IJ.showMessage(
"Help",
"Threshold Colour v1.0\n \n"
+ "Modification of Bob Dougherty's BandPass2 plugin by G.Landini to\n"
+ "threshold 24 bit RGB images based on Hue, Saturation and Brightness\n"
+ "or Red, Green and Blue components.\n \n"
+ "Pass: Band-pass filter (anything within range is displayed).\n \n"
+ "Stop: Band-reject filter (anything within range is NOT displayed).\n \n"
+ "Original: Shows the original image and updates the buffer when\n"
+ " switching to another image.\n \n"
+ "Filtered: Shows the filtered image.\n \n"
+ "Stack: Processes the rest of the slices in the stack (if any)\n"
+ " using the current settings.\n \n"
+ "Threshold: Shows the object/background in the foreground and\n"
+ " background colours selected in the ImageJ toolbar.\n \n"
+ "Invert: Swaps the fore/background colours.\n \n"
+ "Sample: (experimental) Sets the ranges of the filters based on the\n"
+ " pixel value componentd in a rectangular, user-defined, ROI.\n \n"
+ "HSB RGB: Selects HSB or RGB space and resets all the filters.\n \n"
+ "Note that the \'thresholded\' image is RGB, not 8 bit grey.");
}
updatePlot();
updateLabels();
imp.updateAndDraw();
} else {
IJ.beep();
IJ.showStatus("No Image");
}
notify();
}
public boolean dialogItemChanged(GenericDialog gd, AWTEvent e) {
int width = imp.getWidth();
int height = imp.getHeight();
type = gd.getNextChoice();
areaPerPoint = gd.getNextNumber();
color = gd.getNextChoice();
randomOffset = gd.getNextBoolean();
double minArea = (width * height) / 50000.0;
if (type.equals(types[1]) && minArea < 144.0) minArea = 144.0;
else if (minArea < 16) minArea = 16.0;
if (areaPerPoint / (pixelWidth * pixelHeight) < minArea) {
String err = "\"Area per Point\" too small";
if (gd.wasOKed()) IJ.error("Grid", err);
else IJ.showStatus(err);
return true;
}
double tileSize = Math.sqrt(areaPerPoint);
tileWidth = tileSize / pixelWidth;
tileHeight = tileSize / pixelHeight;
if (randomOffset) {
xstart = (int) (random.nextDouble() * tileWidth);
ystart = (int) (random.nextDouble() * tileHeight);
} else {
xstart = (int) (tileWidth / 2.0 + 0.5);
ystart = (int) (tileHeight / 2.0 + 0.5);
}
linesV = (int) ((width - xstart) / tileWidth) + 1;
linesH = (int) ((height - ystart) / tileHeight) + 1;
if (gd.invalidNumber()) return true;
if (type.equals(types[0])) drawLines();
else if (type.equals(types[1])) drawCrosses();
else if (type.equals(types[2])) drawPoints();
else showGrid(null);
return true;
}
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);
}
}
}
// at the very end - show output image (if the is a separate one)
private void showOutput() {
if (interrupted) return;
if (outStack != null) {
outImp = new ImagePlus(TITLE_PREFIX[processType] + imp.getShortTitle(), outStack);
int[] d = imp.getDimensions();
outImp.setDimensions(d[2], d[3], d[4]);
for (int i = 1; i <= imp.getStackSize(); i++)
outStack.setSliceLabel(imp.getStack().getSliceLabel(i), i);
}
if (outImageType != BYTE_OVERWRITE) {
ImageProcessor ip = outImp.getProcessor();
if (!Prefs.blackBackground) ip.invertLut();
ip.resetMinAndMax();
outImp.show();
}
}
void applyStack() {
// int minKeepH = minHue, maxKeepH = maxHue; //GL not needed?
// int minKeepS = minSat, maxKeepS = maxSat;
// int minKeepB = minBri, maxKeepB = maxBri;
for (int i = 1; i <= numSlices; i++) {
imp.setSlice(i);
if (!checkImage()) {
IJ.beep();
IJ.showStatus("No Image");
return;
}
// minHue = minKeepH;
// maxHue = maxKeepH;
// minSat = minKeepS;
// maxSat = maxKeepS;
// minBri = minKeepB;
// maxBri = maxKeepB;
apply(imp, ip);
}
}
/** Mask central offset / low freq spike to better use display range. */
private void maskCentralRegion(ImagePlus imp) {
int w = imp.getWidth();
double d = this.maskDiameter * w;
if (w % 2 == 0) {
d += 1; // tweak to centre the mask about zero freq stripes
}
// N.B. we assume the image is square! (FFT result)
OvalRoi mask = new OvalRoi(w / 2 - d / 2 + 1, w / 2 - d / 2 + 1, d, d);
imp.setRoi(mask);
for (int c = 1; c <= imp.getNChannels(); c++) {
imp.setC(c);
double min = I1l.getStatsForChannel(imp, c).min;
IJ.run(imp, "Set...", "value=" + min + " slice");
}
imp.setC(1);
imp.deleteRoi();
}
void showGrid(Shape shape) {
ImageCanvas ic = imp.getCanvas();
if (ic == null) return;
if (shape == null) ic.setDisplayList(null);
else ic.setDisplayList(shape, getColor(), null);
}
public void keyPressed(KeyEvent e) {
// if (e.isConsumed()) return;
int keyCode = e.getKeyCode();
IJ.setKeyDown(keyCode);
hotkey = false;
if (keyCode == KeyEvent.VK_CONTROL || keyCode == KeyEvent.VK_SHIFT) return;
char keyChar = e.getKeyChar();
int flags = e.getModifiers();
if (IJ.debugMode)
IJ.log(
"keyPressed: code="
+ keyCode
+ " ("
+ KeyEvent.getKeyText(keyCode)
+ "), char=\""
+ keyChar
+ "\" ("
+ (int) keyChar
+ "), flags="
+ KeyEvent.getKeyModifiersText(flags));
boolean shift = (flags & KeyEvent.SHIFT_MASK) != 0;
boolean control = (flags & KeyEvent.CTRL_MASK) != 0;
boolean alt = (flags & KeyEvent.ALT_MASK) != 0;
boolean meta = (flags & KeyEvent.META_MASK) != 0;
String cmd = null;
ImagePlus imp = WindowManager.getCurrentImage();
boolean isStack = (imp != null) && (imp.getStackSize() > 1);
if (imp != null
&& !control
&& ((keyChar >= 32 && keyChar <= 255) || keyChar == '\b' || keyChar == '\n')) {
Roi roi = imp.getRoi();
if (roi instanceof TextRoi) {
if ((flags & KeyEvent.META_MASK) != 0 && IJ.isMacOSX()) return;
if (alt) {
switch (keyChar) {
case 'u':
case 'm':
keyChar = IJ.micronSymbol;
break;
case 'A':
keyChar = IJ.angstromSymbol;
break;
default:
}
}
((TextRoi) roi).addChar(keyChar);
return;
}
}
// Handle one character macro shortcuts
if (!control && !meta) {
Hashtable macroShortcuts = Menus.getMacroShortcuts();
if (macroShortcuts.size() > 0) {
if (shift) cmd = (String) macroShortcuts.get(new Integer(keyCode + 200));
else cmd = (String) macroShortcuts.get(new Integer(keyCode));
if (cmd != null) {
// MacroInstaller.runMacroCommand(cmd);
commandName = cmd;
MacroInstaller.runMacroShortcut(cmd);
return;
}
}
}
if ((!Prefs.requireControlKey || control || meta) && keyChar != '+') {
Hashtable shortcuts = Menus.getShortcuts();
if (shift) cmd = (String) shortcuts.get(new Integer(keyCode + 200));
else cmd = (String) shortcuts.get(new Integer(keyCode));
}
if (cmd == null) {
switch (keyChar) {
case '<':
case ',':
if (isStack) cmd = "Previous Slice [<]";
break;
case '>':
case '.':
case ';':
if (isStack) cmd = "Next Slice [>]";
break;
case '+':
case '=':
cmd = "In [+]";
break;
case '-':
cmd = "Out [-]";
break;
case '/':
cmd = "Reslice [/]...";
break;
default:
}
}
if (cmd == null) {
switch (keyCode) {
case KeyEvent.VK_TAB:
WindowManager.putBehind();
return;
case KeyEvent.VK_BACK_SPACE: // delete
if (deleteOverlayRoi(imp)) return;
cmd = "Clear";
hotkey = true;
break;
// case KeyEvent.VK_BACK_SLASH: cmd=IJ.altKeyDown()?"Animation Options...":"Start
// Animation"; break;
case KeyEvent.VK_EQUALS:
cmd = "In [+]";
break;
case KeyEvent.VK_MINUS:
cmd = "Out [-]";
break;
case KeyEvent.VK_SLASH:
case 0xbf:
cmd = "Reslice [/]...";
break;
case KeyEvent.VK_COMMA:
case 0xbc:
if (isStack) cmd = "Previous Slice [<]";
break;
case KeyEvent.VK_PERIOD:
case 0xbe:
if (isStack) cmd = "Next Slice [>]";
break;
case KeyEvent.VK_LEFT:
case KeyEvent.VK_RIGHT:
case KeyEvent.VK_UP:
case KeyEvent.VK_DOWN: // arrow keys
if (imp == null) return;
Roi roi = imp.getRoi();
if (IJ.shiftKeyDown() && imp == Orthogonal_Views.getImage()) return;
boolean stackKey = imp.getStackSize() > 1 && (roi == null || IJ.shiftKeyDown());
boolean zoomKey = roi == null || IJ.shiftKeyDown() || IJ.controlKeyDown();
if (stackKey && keyCode == KeyEvent.VK_RIGHT) cmd = "Next Slice [>]";
else if (stackKey && keyCode == KeyEvent.VK_LEFT) cmd = "Previous Slice [<]";
else if (zoomKey
&& keyCode == KeyEvent.VK_DOWN
&& !ignoreArrowKeys(imp)
&& Toolbar.getToolId() < Toolbar.SPARE6) cmd = "Out [-]";
else if (zoomKey
&& keyCode == KeyEvent.VK_UP
&& !ignoreArrowKeys(imp)
&& Toolbar.getToolId() < Toolbar.SPARE6) cmd = "In [+]";
else if (roi != null) {
if ((flags & KeyEvent.ALT_MASK) != 0) roi.nudgeCorner(keyCode);
else roi.nudge(keyCode);
return;
}
break;
case KeyEvent.VK_ESCAPE:
abortPluginOrMacro(imp);
return;
case KeyEvent.VK_ENTER:
WindowManager.toFront(this);
return;
default:
break;
}
}
if (cmd != null && !cmd.equals("")) {
commandName = cmd;
if (cmd.equals("Fill") || cmd.equals("Draw")) hotkey = true;
if (cmd.charAt(0) == MacroInstaller.commandPrefix) MacroInstaller.runMacroShortcut(cmd);
else {
doCommand(cmd);
keyPressedTime = System.currentTimeMillis();
lastKeyCommand = cmd;
}
}
}