public void run(ImageProcessor ip) {
if (enlarge && gd.wasOKed())
synchronized (this) {
if (!isEnlarged) {
enlargeCanvas();
isEnlarged = true;
}
}
if (isEnlarged) { // enlarging may have made the ImageProcessor invalid, also for the parallel
// threads
int slice = pfr.getSliceNumber();
if (imp.getStackSize() == 1) ip = imp.getProcessor();
else ip = imp.getStack().getProcessor(slice);
}
ip.setInterpolationMethod(interpolationMethod);
if (fillWithBackground) {
Color bgc = Toolbar.getBackgroundColor();
if (bitDepth == 8) ip.setBackgroundValue(ip.getBestIndex(bgc));
else if (bitDepth == 24) ip.setBackgroundValue(bgc.getRGB());
} else ip.setBackgroundValue(0);
ip.rotate(angle);
if (!gd.wasOKed()) drawGridLines(gridLines);
if (isEnlarged && imp.getStackSize() == 1) {
imp.changes = true;
imp.updateAndDraw();
Undo.setup(Undo.COMPOUND_FILTER_DONE, imp);
}
}
/**
* Resizes the current array to the given dimensions.
*
* @param input the array to resize
* @param lenX the desired length in x-direction (with, horizontal length)
* @param lenY the desired length in y-direction (height, vertical length)
* @return a new 2d float array with the specified dimensions, and values interpolated from the
* input array.
*/
public static float[][] resize(float[][] input, int lenX, int lenY) {
float[] linearized = linearize2DArray(input);
ImageStack is = ImageStack.create(input.length, input[0].length, 1, 32);
is.setPixels(linearized, 1);
ImageProcessor ip = new ImagePlus("", is).getProcessor();
ip.setInterpolationMethod(ImageProcessor.BICUBIC);
float[] resized = (float[]) ip.resize(lenX, lenY).getPixels();
return linearizedArrayTo2D(resized, lenX, lenY);
}
public void run(String arg) {
imp = IJ.getImage();
Roi roi = imp.getRoi();
if (roi != null && !roi.isArea()) imp.deleteRoi(); // ignore any line selection
ImageProcessor ip = imp.getProcessor();
if (!showDialog(ip)) return;
if (newDepth > 0 && newDepth != oldDepth) {
newWindow = true;
processStack = true;
}
if ((ip.getWidth() > 1 && ip.getHeight() > 1) || newWindow)
ip.setInterpolationMethod(interpolationMethod);
else ip.setInterpolationMethod(ImageProcessor.NONE);
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);
}
/**
* Combination of {@link ImageJInterpolation#crop(float[][], float, float, float, float)} and
* {@link ImageJInterpolation#resize(float[][], int, int)}. Crops and resizes the input array into
* a new output array.
*
* @param input the array to work on
* @param lenX the desired length in x-direction (with, horizontal length)
* @param lenY the desired length in y-direction (height, vertical length)
* @param minX the lower index in x-direction
* @param minY the lower index in y-direction
* @param maxX the higher index in x-direction
* @param maxY the higher index in y-direction
* @return a new cropped and resized version of the input array
*/
public static float[][] cropAndResize(
float[][] input, int lenX, int lenY, float minX, float minY, float maxX, float maxY) {
float[] linearized = linearize2DArray(input);
ImageStack is = ImageStack.create(input[0].length, input.length, 1, 32);
is.setPixels(linearized, 1);
ImageProcessor ip = new ImagePlus("", is).getProcessor();
ip.setInterpolationMethod(ImageProcessor.BICUBIC);
ip.setRoi((int) minX, (int) minY, (int) Math.ceil(maxX - minX), (int) Math.ceil(maxY - minY));
float[] resized = (float[]) ip.crop().resize(lenX, lenY).getPixels();
return linearizedArrayTo2D(resized, lenX, lenY);
}
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;
}
}
