void lineToArea(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null || !roi.isLine()) {
IJ.error("Line to Area", "Line selection required");
return;
}
Undo.setup(Undo.ROI, imp);
Roi roi2 = null;
if (roi.getType() == Roi.LINE) {
double width = roi.getStrokeWidth();
if (width <= 1.0) roi.setStrokeWidth(1.0000001);
FloatPolygon p = roi.getFloatPolygon();
roi.setStrokeWidth(width);
roi2 = new PolygonRoi(p, Roi.POLYGON);
roi2.setDrawOffset(roi.getDrawOffset());
} else {
ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
ip2.setColor(255);
roi.drawPixels(ip2);
// new ImagePlus("ip2", ip2.duplicate()).show();
ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
ThresholdToSelection tts = new ThresholdToSelection();
roi2 = tts.convert(ip2);
}
transferProperties(roi, roi2);
roi2.setStrokeWidth(0);
Color c = roi2.getStrokeColor();
if (c != null) // remove any transparency
roi2.setStrokeColor(new Color(c.getRed(), c.getGreen(), c.getBlue()));
imp.setRoi(roi2);
Roi.previousRoi = (Roi) roi.clone();
}
/** Generate output image whose type is same as input image. */
private ImagePlus makeOutputImage(ImagePlus imp, FloatProcessor fp, int ptype) {
int width = imp.getWidth();
int height = imp.getHeight();
float[] pixels = (float[]) fp.getPixels();
ImageProcessor oip = null;
// Create output image consistent w/ type of input image.
int size = pixels.length;
switch (ptype) {
case BYTE_TYPE:
oip = imp.getProcessor().createProcessor(width, height);
byte[] pixels8 = (byte[]) oip.getPixels();
for (int i = 0; i < size; i++) pixels8[i] = (byte) pixels[i];
break;
case SHORT_TYPE:
oip = imp.getProcessor().createProcessor(width, height);
short[] pixels16 = (short[]) oip.getPixels();
for (int i = 0; i < size; i++) pixels16[i] = (short) pixels[i];
break;
case FLOAT_TYPE:
oip = new FloatProcessor(width, height, pixels, null);
break;
}
// Adjust for display.
// Calling this on non-ByteProcessors ensures image
// processor is set up to correctly display image.
oip.resetMinAndMax();
// Create new image plus object. Don't use
// ImagePlus.createImagePlus here because there may be
// attributes of input image that are not appropriate for
// projection.
return new ImagePlus(makeTitle(), oip);
}
void lineToArea(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null || !roi.isLine()) {
IJ.error("Line to Area", "Line selection required");
return;
}
if (roi.getType() == Roi.LINE && roi.getStrokeWidth() == 1) {
IJ.error("Line to Area", "Straight line width must be > 1");
return;
}
ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
ip2.setColor(255);
if (roi.getType() == Roi.LINE) ip2.fillPolygon(roi.getPolygon());
else {
roi.drawPixels(ip2);
// BufferedImage bi = new BufferedImage(imp.getWidth(), imp.getHeight(),
// BufferedImage.TYPE_BYTE_GRAY);
// Graphics g = bi.getGraphics();
// Roi roi2 = (Roi)roi.clone();
// roi2.setStrokeColor(Color.white);
// roi2.drawOverlay(g);
// ip2 = new ByteProcessor(bi);
}
// new ImagePlus("ip2", ip2.duplicate()).show();
ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
ThresholdToSelection tts = new ThresholdToSelection();
Roi roi2 = tts.convert(ip2);
imp.setRoi(roi2);
Roi.previousRoi = (Roi) roi.clone();
}
void createEllipse(ImagePlus imp) {
IJ.showStatus("Fitting ellipse");
Roi roi = imp.getRoi();
if (roi == null) {
noRoi("Fit Ellipse");
return;
}
if (roi.isLine()) {
IJ.error("Fit Ellipse", "\"Fit Ellipse\" does not work with line selections");
return;
}
ImageProcessor ip = imp.getProcessor();
ip.setRoi(roi);
int options = Measurements.CENTROID + Measurements.ELLIPSE;
ImageStatistics stats = ImageStatistics.getStatistics(ip, options, null);
double dx = stats.major * Math.cos(stats.angle / 180.0 * Math.PI) / 2.0;
double dy = -stats.major * Math.sin(stats.angle / 180.0 * Math.PI) / 2.0;
double x1 = stats.xCentroid - dx;
double x2 = stats.xCentroid + dx;
double y1 = stats.yCentroid - dy;
double y2 = stats.yCentroid + dy;
double aspectRatio = stats.minor / stats.major;
imp.killRoi();
imp.setRoi(new EllipseRoi(x1, y1, x2, y2, aspectRatio));
}
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 skeletonize(ImageProcessor ip) {
if (Prefs.blackBackground) ip.invert();
boolean edgePixels = hasEdgePixels(ip);
ImageProcessor ip2 = expand(ip, edgePixels);
((ByteProcessor) ip2).skeletonize();
ip = shrink(ip, ip2, edgePixels);
if (Prefs.blackBackground) ip.invert();
}
ImageProcessor shrink(ImageProcessor ip, ImageProcessor ip2, boolean hasEdgePixels) {
if (hasEdgePixels) {
int width = ip.getWidth();
int height = ip.getHeight();
for (int y = 0; y < height; y++)
for (int x = 0; x < width; x++) ip.putPixel(x, y, ip2.getPixel(x + 1, y + 1));
}
return ip;
}
/** Constructs a Wand object from an ImageProcessor. */
public Wand(ImageProcessor ip) {
this.ip = ip;
if (ip instanceof ByteProcessor) bpixels = (byte[]) ip.getPixels();
else if (ip instanceof ColorProcessor) cpixels = (int[]) ip.getPixels();
else if (ip instanceof ShortProcessor) spixels = (short[]) ip.getPixels();
else if (ip instanceof FloatProcessor) fpixels = (float[]) ip.getPixels();
width = ip.getWidth();
height = ip.getHeight();
}
/** Draws an outline of this OvalRoi on the image. */
public void drawPixels(ImageProcessor ip) {
Polygon p = getPolygon();
if (p.npoints > 0) {
int saveWidth = ip.getLineWidth();
if (getStrokeWidth() > 1f) ip.setLineWidth((int) Math.round(getStrokeWidth()));
ip.drawPolygon(p);
ip.setLineWidth(saveWidth);
}
if (Line.getWidth() > 1 || getStrokeWidth() > 1) updateFullWindow = true;
}
void lineWidth() {
int width = (int) IJ.getNumber("Line Width:", Line.getWidth());
if (width == IJ.CANCELED) return;
Line.setWidth(width);
LineWidthAdjuster.update();
ImagePlus imp = WindowManager.getCurrentImage();
if (imp != null && imp.isProcessor()) {
ImageProcessor ip = imp.getProcessor();
ip.setLineWidth(Line.getWidth());
Roi roi = imp.getRoi();
if (roi != null && roi.isLine()) imp.draw();
}
}
boolean setThresholdLevels(ImagePlus imp, ImageProcessor ip) {
double t1 = ip.getMinThreshold();
double t2 = ip.getMaxThreshold();
boolean invertedLut = imp.isInvertedLut();
boolean byteImage = ip instanceof ByteProcessor;
if (ip instanceof ShortProcessor) imageType = SHORT;
else if (ip instanceof FloatProcessor) imageType = FLOAT;
else imageType = BYTE;
if (t1 == ImageProcessor.NO_THRESHOLD) {
ImageStatistics stats = imp.getStatistics();
if (imageType != BYTE || (stats.histogram[0] + stats.histogram[255] != stats.pixelCount)) {
IJ.error(
"Particle Analyzer",
"A thresholded image or 8-bit binary image is\n"
+ "required. Threshold levels can be set using\n"
+ "the Image->Adjust->Threshold tool.");
canceled = true;
return false;
}
boolean threshold255 = invertedLut;
if (Prefs.blackBackground) threshold255 = !threshold255;
if (threshold255) {
level1 = 255;
level2 = 255;
fillColor = 64;
} else {
level1 = 0;
level2 = 0;
fillColor = 192;
}
} else {
level1 = t1;
level2 = t2;
if (imageType == BYTE) {
if (level1 > 0) fillColor = 0;
else if (level2 < 255) fillColor = 255;
} else if (imageType == SHORT) {
if (level1 > 0) fillColor = 0;
else if (level2 < 65535) fillColor = 65535;
} else if (imageType == FLOAT) fillColor = -Float.MAX_VALUE;
else return false;
}
imageType2 = imageType;
if (redirectIP != null) {
if (redirectIP instanceof ShortProcessor) imageType2 = SHORT;
else if (redirectIP instanceof FloatProcessor) imageType2 = FLOAT;
else if (redirectIP instanceof ColorProcessor) imageType2 = RGB;
else imageType2 = BYTE;
}
return true;
}
public void mousePressed(MouseEvent e) {
// super.mousePressed(e);
ImageProcessor ip = imp.getProcessor();
ip.setLineWidth(1);
if (Toolbar.getToolId() == Toolbar.DROPPER) IJ.setTool(Toolbar.RECTANGLE);
Rectangle flipperRect = new Rectangle(86, 268, 18, 18);
Rectangle resetRect = new Rectangle(86, 294, 18, 18);
Rectangle foreground1Rect = new Rectangle(9, 266, 45, 10);
Rectangle foreground2Rect = new Rectangle(9, 276, 23, 25);
Rectangle background1Rect = new Rectangle(33, 302, 45, 10);
Rectangle background2Rect = new Rectangle(56, 277, 23, 25);
int x = offScreenX(e.getX());
int y = offScreenY(e.getY());
long difference = System.currentTimeMillis() - mouseDownTime;
boolean doubleClick = (difference <= 250);
mouseDownTime = System.currentTimeMillis();
if (flipperRect.contains(x, y)) {
Color c = Toolbar.getBackgroundColor();
Toolbar.setBackgroundColor(Toolbar.getForegroundColor());
Toolbar.setForegroundColor(c);
} else if (resetRect.contains(x, y)) {
Toolbar.setForegroundColor(new Color(0x000000));
Toolbar.setBackgroundColor(new Color(0xffffff));
} else if ((background1Rect.contains(x, y)) || (background2Rect.contains(x, y))) {
background = true;
if (doubleClick) editColor();
((ColorGenerator) ip).refreshForeground();
((ColorGenerator) ip).refreshBackground();
} else if ((foreground1Rect.contains(x, y)) || (foreground2Rect.contains(x, y))) {
background = false;
if (doubleClick) editColor();
((ColorGenerator) ip).refreshBackground();
((ColorGenerator) ip).refreshForeground();
} else {
// IJ.log(" " + difference + " " + doubleClick);
if (doubleClick) editColor();
else {
setDrawingColor(offScreenX(e.getX()), offScreenY(e.getY()), background);
}
}
if (ip instanceof ColorGenerator) {
if (background) {
((ColorGenerator) ip).refreshForeground();
((ColorGenerator) ip).refreshBackground();
} else {
((ColorGenerator) ip).refreshBackground();
((ColorGenerator) ip).refreshForeground();
}
}
}
void drawOutline(ImageProcessor ip, Roi roi, int count) {
if (showChoice == OVERLAY_OUTLINES || showChoice == OVERLAY_MASKS) {
if (overlay == null) {
overlay = new Overlay();
overlay.drawLabels(true);
overlay.setLabelFont(new Font("SansSerif", Font.PLAIN, fontSize));
}
Roi roi2 = (Roi) roi.clone();
roi2.setStrokeColor(Color.cyan);
if (lineWidth != 1) roi2.setStrokeWidth(lineWidth);
if (showChoice == OVERLAY_MASKS) roi2.setFillColor(Color.cyan);
overlay.add(roi2);
} else {
Rectangle r = roi.getBounds();
int nPoints = ((PolygonRoi) roi).getNCoordinates();
int[] xp = ((PolygonRoi) roi).getXCoordinates();
int[] yp = ((PolygonRoi) roi).getYCoordinates();
int x = r.x, y = r.y;
if (!inSituShow) ip.setValue(0.0);
ip.moveTo(x + xp[0], y + yp[0]);
for (int i = 1; i < nPoints; i++) ip.lineTo(x + xp[i], y + yp[i]);
ip.lineTo(x + xp[0], y + yp[0]);
if (showChoice != BARE_OUTLINES) {
String s = ResultsTable.d2s(count, 0);
ip.moveTo(r.x + r.width / 2 - ip.getStringWidth(s) / 2, r.y + r.height / 2 + fontSize / 2);
if (!inSituShow) ip.setValue(1.0);
ip.drawString(s);
}
}
}
void reset(ImagePlus imp, ImageProcessor ip) {
// Assign the pixels of ip to the data in the restore array, while
// taking care to not give the address the restore array to the
// image processor.
int[] pixels = (int[]) ip.getPixels();
for (int i = 0; i < numPixels; i++) pixels[i] = restore[i];
}
/*------------------------------------------------------------------*/
void putRow(ImageProcessor ip, int y, double[] row) {
int rowLength = ip.getWidth();
if (rowLength != row.length) {
throw new IndexOutOfBoundsException("Incoherent array sizes");
}
y *= rowLength;
if (ip.getPixels() instanceof float[]) {
float[] floatPixels = (float[]) ip.getPixels();
for (int i = 0; (i < rowLength); i++) {
floatPixels[y++] = (float) row[i];
}
} else {
throw new IllegalArgumentException("Float image required");
}
} /* end putRow */
/*------------------------------------------------------------------*/
void putColumn(ImageProcessor ip, int x, double[] column) {
int width = ip.getWidth();
if (ip.getHeight() != column.length) {
throw new IndexOutOfBoundsException("Incoherent array sizes");
}
if (ip.getPixels() instanceof float[]) {
float[] floatPixels = (float[]) ip.getPixels();
for (int i = 0; (i < column.length); i++) {
floatPixels[x] = (float) column[i];
x += width;
}
} else {
throw new IllegalArgumentException("Float image required");
}
} /* end putColumn */
/** Opens a stack of images. */
ImagePlus openStack(ColorModel cm, boolean show) {
ImageStack stack = new ImageStack(fi.width, fi.height, cm);
long skip = fi.getOffset();
Object pixels;
try {
ImageReader reader = new ImageReader(fi);
InputStream is = createInputStream(fi);
if (is == null) return null;
IJ.resetEscape();
for (int i = 1; i <= fi.nImages; i++) {
if (!silentMode) IJ.showStatus("Reading: " + i + "/" + fi.nImages);
if (IJ.escapePressed()) {
IJ.beep();
IJ.showProgress(1.0);
silentMode = false;
return null;
}
pixels = reader.readPixels(is, skip);
if (pixels == null) break;
stack.addSlice(null, pixels);
skip = fi.gapBetweenImages;
if (!silentMode) IJ.showProgress(i, fi.nImages);
}
is.close();
} catch (Exception e) {
IJ.log("" + e);
} catch (OutOfMemoryError e) {
IJ.outOfMemory(fi.fileName);
stack.trim();
}
if (!silentMode) IJ.showProgress(1.0);
if (stack.getSize() == 0) return null;
if (fi.sliceLabels != null && fi.sliceLabels.length <= stack.getSize()) {
for (int i = 0; i < fi.sliceLabels.length; i++) stack.setSliceLabel(fi.sliceLabels[i], i + 1);
}
ImagePlus imp = new ImagePlus(fi.fileName, stack);
if (fi.info != null) imp.setProperty("Info", fi.info);
if (show) imp.show();
imp.setFileInfo(fi);
setCalibration(imp);
ImageProcessor ip = imp.getProcessor();
if (ip.getMin() == ip.getMax()) // find stack min and max if first slice is blank
setStackDisplayRange(imp);
if (!silentMode) IJ.showProgress(1.0);
silentMode = false;
return imp;
}
void lineToArea(ImagePlus imp) {
Roi roi = imp.getRoi();
if (roi == null || !roi.isLine()) {
IJ.error("Line to Area", "Line selection required");
return;
}
ImageProcessor ip2 = new ByteProcessor(imp.getWidth(), imp.getHeight());
ip2.setColor(255);
if (roi.getType() == Roi.LINE && roi.getStrokeWidth() > 1) ip2.fillPolygon(roi.getPolygon());
else roi.drawPixels(ip2);
// new ImagePlus("ip2", ip2.duplicate()).show();
ip2.setThreshold(255, 255, ImageProcessor.NO_LUT_UPDATE);
ThresholdToSelection tts = new ThresholdToSelection();
Roi roi2 = tts.convert(ip2);
imp.setRoi(roi2);
Roi.previousRoi = (Roi) roi.clone();
}
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);
}
}
}
void createMask(ImagePlus imp) {
Roi roi = imp.getRoi();
boolean useInvertingLut = Prefs.useInvertingLut;
Prefs.useInvertingLut = false;
if (roi == null || !(roi.isArea() || roi.getType() == Roi.POINT)) {
createMaskFromThreshold(imp);
Prefs.useInvertingLut = useInvertingLut;
return;
}
ImagePlus maskImp = null;
Frame frame = WindowManager.getFrame("Mask");
if (frame != null && (frame instanceof ImageWindow))
maskImp = ((ImageWindow) frame).getImagePlus();
if (maskImp == null) {
ImageProcessor ip = new ByteProcessor(imp.getWidth(), imp.getHeight());
if (!Prefs.blackBackground) ip.invertLut();
maskImp = new ImagePlus("Mask", ip);
maskImp.show();
}
ImageProcessor ip = maskImp.getProcessor();
ip.setRoi(roi);
ip.setValue(255);
ip.fill(ip.getMask());
maskImp.updateAndDraw();
Prefs.useInvertingLut = useInvertingLut;
}
/**
* 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};
}
/*------------------------------------------------------------------*/
public void getVerticalHessian(ImageProcessor ip, double tolerance) {
if (!(ip.getPixels() instanceof float[])) {
throw new IllegalArgumentException("Float image required");
}
float[] floatPixels = (float[]) ip.getPixels();
int width = ip.getWidth();
int height = ip.getHeight();
double line[] = new double[height];
for (int x = 0; (x < width); x++) {
getColumn(ip, x, line);
getSplineInterpolationCoefficients(line, tolerance);
getHessian(line);
putColumn(ip, x, line);
stepProgressBar();
}
} /* end getVerticalHessian */
/*------------------------------------------------------------------*/
public void getHorizontalGradient(ImageProcessor ip, double tolerance) {
if (!(ip.getPixels() instanceof float[])) {
throw new IllegalArgumentException("Float image required");
}
float[] floatPixels = (float[]) ip.getPixels();
int width = ip.getWidth();
int height = ip.getHeight();
double line[] = new double[width];
for (int y = 0; (y < height); y++) {
getRow(ip, y, line);
getSplineInterpolationCoefficients(line, tolerance);
getGradient(line);
putRow(ip, y, line);
stepProgressBar();
}
} /* end getHorizontalGradient */
// get a pixel value; returns Float.NaN if outside the field.
private float getPixel(int x, int y) {
if (x < 0 || x >= width || y < 0 || y >= height) return Float.NaN;
if (bpixels != null) return bpixels[y * width + x] & 0xff;
else if (spixels != null) return spixels[y * width + x] & 0xffff;
else if (fpixels != null) return fpixels[y * width + x];
else if (exactPixelValue) // RGB for exact match
return cpixels[y * width + x] & 0xffffff; // don't care for upper byte
else // gray value of RGB
return ip.getPixelValue(x, y);
}
private String addMean(int column, String line, int start) {
if (start == -1) {
line += "\tNaN";
summaryHdr += "\t" + ResultsTable.getDefaultHeading(column);
} else {
float[] c = column >= 0 ? rt.getColumn(column) : null;
if (c != null) {
ImageProcessor ip = new FloatProcessor(c.length, 1, c, null);
if (ip == null) return line;
ip.setRoi(start, 0, ip.getWidth() - start, 1);
ip = ip.crop();
ImageStatistics stats = new FloatStatistics(ip);
if (stats == null) return line;
line += n(stats.mean);
} else line += "\tNaN";
summaryHdr += "\t" + rt.getColumnHeading(column);
}
return line;
}
void createSelectionFromMask(ImagePlus imp) {
ImageProcessor ip = imp.getProcessor();
if (ip.getMinThreshold() != ImageProcessor.NO_THRESHOLD) {
IJ.runPlugIn("ij.plugin.filter.ThresholdToSelection", "");
return;
}
if (!ip.isBinary()) {
IJ.error(
"Create Selection",
"This command creates a composite selection from\n"
+ "a mask (8-bit binary image with white background)\n"
+ "or from an image that has been thresholded using\n"
+ "the Image>Adjust>Threshold tool. The current\n"
+ "image is not a mask and has not been thresholded.");
return;
}
int threshold = ip.isInvertedLut() ? 255 : 0;
ip.setThreshold(threshold, threshold, ImageProcessor.NO_LUT_UPDATE);
IJ.runPlugIn("ij.plugin.filter.ThresholdToSelection", "");
}
float[] getCurvature(float[] x, float[] y, int n) {
float[] x2 = new float[n];
float[] y2 = new float[n];
for (int i = 0; i < n; i++) {
x2[i] = x[i];
y2[i] = y[i];
}
ImageProcessor ipx = new FloatProcessor(n, 1, x, null);
ImageProcessor ipy = new FloatProcessor(n, 1, y, null);
ipx.convolve(kernel, kernel.length, 1);
ipy.convolve(kernel, kernel.length, 1);
float[] indexes = new float[n];
float[] curvature = new float[n];
for (int i = 0; i < n; i++) {
indexes[i] = i;
curvature[i] =
(float) Math.sqrt((x2[i] - x[i]) * (x2[i] - x[i]) + (y2[i] - y[i]) * (y2[i] - y[i]));
}
return curvature;
}
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 avg_col(ImageProcessor ip) {
float sum; // sum of pixel values column
float avg; // average pixel value of a column
float[] sliceavgs = new float[width]; // means across columns of one slice
int sliceNumber = ip.getSliceNumber() - 1; // slice number
for (int x = 0; x < width; x += 1) {
sum = 0; // reset with each column
avg = 0; // reset with each column
for (int y = 0; y < height; y += 1) {
sum = sum + ip.getPixelValue(x, y);
}
avg = sum / height;
sliceavgs[x] = avg; // building array of means
}
this.slicecols[sliceNumber] = sliceavgs; // add this slice's means to array
}
public void run(ImageProcessor ip) {
int fg = Prefs.blackBackground ? 255 : 0;
foreground = ip.isInvertedLut() ? 255 - fg : fg;
background = 255 - foreground;
ip.setSnapshotCopyMode(true);
if (arg.equals("outline")) outline(ip);
else if (arg.startsWith("fill")) fill(ip, foreground, background);
else if (arg.startsWith("skel")) {
ip.resetRoi();
skeletonize(ip);
} else if (arg.equals("erode") || arg.equals("dilate")) doIterations((ByteProcessor) ip, arg);
else if (arg.equals("open")) {
doIterations(ip, "erode");
doIterations(ip, "dilate");
} else if (arg.equals("close")) {
doIterations(ip, "dilate");
doIterations(ip, "erode");
}
ip.setSnapshotCopyMode(false);
ip.setBinaryThreshold();
}