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)); }
void getCentroid(ImageProcessor ip, int minThreshold, int maxThreshold) { byte[] pixels = (byte[]) ip.getPixels(); byte[] mask = ip.getMaskArray(); boolean limit = minThreshold > 0 || maxThreshold < 255; double xsum = 0, ysum = 0; int count = 0, i, mi, v; for (int y = ry, my = 0; y < (ry + rh); y++, my++) { i = y * width + rx; mi = my * rw; for (int x = rx; x < (rx + rw); x++) { if (mask == null || mask[mi++] != 0) { if (limit) { v = pixels[i] & 255; if (v >= minThreshold && v <= maxThreshold) { count++; xsum += x; ysum += y; } } else { count++; xsum += x; ysum += y; } } i++; } } xCentroid = xsum / count + 0.5; yCentroid = ysum / count + 0.5; if (cal != null) { xCentroid = cal.getX(xCentroid); yCentroid = cal.getY(yCentroid, height); } }
// Used to get text in a image store at the location specified by the path public static String getText(String path) { // read a low quality image to save memory BitmapFactory.Options options = new BitmapFactory.Options(); options.inSampleSize = 4; try { Bitmap temp_bitmap = BitmapFactory.decodeFile(path, options); ExifInterface exif = new ExifInterface(path); // Correct the orientation of the bitmap temp_bitmap = ImageProcessor.correctOrientation(temp_bitmap, exif); Bitmap bitmap = ImageProcessor.optimizeBitmap(temp_bitmap); String recognizedText = BookSearchApp.scanPhoto(bitmap); // remove some wrong results if (BookSearchApp.lang.equalsIgnoreCase("eng")) { recognizedText = recognizedText.replaceAll("[^a-zA-Z0-9]+", ""); } recognizedText = recognizedText.trim(); return recognizedText; } catch (IOException e) { // if there is a error with the SD card Log.d(TAG, "Error reading from SD Card"); e.printStackTrace(); } return ""; }
/** 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); }
/** * Constructs a ByteStatistics object from a ByteProcessor using the specified measurement and * calibration. */ public ByteStatistics(ImageProcessor ip, int mOptions, Calibration cal) { ByteProcessor bp = (ByteProcessor) ip; histogram = bp.getHistogram(); setup(ip, cal); double minT = ip.getMinThreshold(); int minThreshold, maxThreshold; if ((mOptions & LIMIT) == 0 || minT == ImageProcessor.NO_THRESHOLD) { minThreshold = 0; maxThreshold = 255; } else { minThreshold = (int) minT; maxThreshold = (int) ip.getMaxThreshold(); } float[] cTable = cal != null ? cal.getCTable() : null; if (cTable != null) getCalibratedStatistics(minThreshold, maxThreshold, cTable); else getRawStatistics(minThreshold, maxThreshold); if ((mOptions & MIN_MAX) != 0) { if (cTable != null) getCalibratedMinAndMax(minThreshold, maxThreshold, cTable); else getRawMinAndMax(minThreshold, maxThreshold); } if ((mOptions & ELLIPSE) != 0) fitEllipse(ip); else if ((mOptions & CENTROID) != 0) getCentroid(ip, minThreshold, maxThreshold); if ((mOptions & (CENTER_OF_MASS | SKEWNESS | KURTOSIS)) != 0) calculateMoments(ip, minThreshold, maxThreshold, cTable); if ((mOptions & MEDIAN) != 0) calculateMedian(histogram, minThreshold, maxThreshold, cal); if ((mOptions & AREA_FRACTION) != 0) calculateAreaFraction(ip, histogram); }
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(); }
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; }
/** * Updates this stack so its attributes, such as min, max, calibration table and color model, are * the same as 'ip'. */ public void update(ImageProcessor ip) { if (ip != null) { min = ip.getMin(); max = ip.getMax(); cTable = ip.getCalibrationTable(); cm = ip.getColorModel(); } }
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]; }
/** * Returns an ImageProcessor for the specified slice, were 1<=n<=nslices. Returns null if the * stack is empty. */ public ImageProcessor getProcessor(int n) { ImageProcessor ip; if (n < 1 || n > nSlices) throw new IllegalArgumentException(outOfRange + n); if (nSlices == 0) return null; if (stack[0] == null) throw new IllegalArgumentException("Pixel array is null"); if (stack[0] instanceof byte[]) ip = new ByteProcessor(width, height, null, cm); else if (stack[0] instanceof short[]) ip = new ShortProcessor(width, height, null, cm); else if (stack[0] instanceof int[]) ip = new ColorProcessor(width, height, null); else if (stack[0] instanceof float[]) ip = new FloatProcessor(width, height, null, cm); else throw new IllegalArgumentException("Unknown stack type"); ip.setPixels(stack[n - 1]); if (min != Double.MAX_VALUE && ip != null && !(ip instanceof ColorProcessor)) ip.setMinAndMax(min, max); if (cTable != null) ip.setCalibrationTable(cTable); return ip; }
/*------------------------------------------------------------------*/ 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 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 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(); }
/** * 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 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; }
/*------------------------------------------------------------------*/ 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 */
/** * Processes an Image. * * @param img * @param attrs * @throws DocumentException * @since 5.0.6 */ public void processImage(final Image img, final Map<String, String> attrs) throws DocumentException { ImageProcessor processor = (ImageProcessor) providers.get(HTMLWorker.IMG_PROCESSOR); if (processor == null || !processor.process(img, attrs, chain, document)) { String align = attrs.get(HtmlTags.ALIGN); if (align != null) { carriageReturn(); } if (currentParagraph == null) { currentParagraph = createParagraph(); } currentParagraph.add(new Chunk(img, 0, 0, true)); currentParagraph.setAlignment(HtmlUtilities.alignmentValue(align)); if (align != null) { carriageReturn(); } } }
// 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); }