Examples with ImageProcessor ij.process.ImageProcessor used on opensource projects

Example 6 with ImageProcessor

use of ij.process.ImageProcessor in project GDSC-SMLM by aherbert.

the class PSFCreator method getFWHM.

private double getFWHM(ImageStack psf, int maxz) {
    // Extract the line profile through the stack
    int size = psf.getWidth();
    int cx = size / 2;
    // Even PSFs have the middle in the centre of two pixels
    int cx2 = (size % 2 == 0) ? cx - 1 : cx;
    double[] p0 = new double[size];
    double[] p1 = new double[size];
    double[] p2 = new double[size];
    double[] p3 = new double[size];
    double[] p4 = new double[size];
    ImageProcessor ip = psf.getProcessor(maxz);
    for (int i = 0, j = size - 1; i < size; i++, j--) {
        p0[i] = i;
        p1[i] = (ip.getf(i, cx) + ip.getf(i, cx2)) / 2.0;
        p2[i] = (ip.getf(cx, i) + ip.getf(cx2, i)) / 2.0;
        p3[i] = ip.getf(i, i);
        p4[i] = ip.getf(i, j);
    }
    // Diagonals need to be scaled to the appropriate distance.
    return (getFWHM(p0, p1) + getFWHM(p0, p2) + Math.sqrt(2) * getFWHM(p0, p3) + Math.sqrt(2) * getFWHM(p0, p4)) / 4.0;
}

Example 7 with ImageProcessor

use of ij.process.ImageProcessor in project GDSC-SMLM by aherbert.

the class ResultsImageSampler method getSample.

/**
	 * Gets the sample image. The image is a stack of the samples with an overlay of the localisation positions. The
	 * info property is set with details of the localisations and the image is calibrated.
	 *
	 * @param nNo
	 *            the number of samples with no localisations
	 * @param nLow
	 *            the number of samples with low localisations
	 * @param nHigh
	 *            the number of samples with high localisations
	 * @return the sample image (could be null if no samples were made)
	 */
public ImagePlus getSample(int nNo, int nLow, int nHigh) {
    ImageStack out = new ImageStack(size, size);
    if (!isValid())
        return null;
    list.clearf();
    // empty
    for (int i : Random.sample(nNo, no.length, r)) list.add(ResultsSample.createEmpty(no[i]));
    // low
    for (int i : Random.sample(nLow, lower, r)) list.add(data[i]);
    // high
    for (int i : Random.sample(nHigh, upper, r)) list.add(data[i + lower]);
    if (list.isEmpty())
        return null;
    double nmPerPixel = 1;
    if (results.getCalibration() != null) {
        Calibration calibration = results.getCalibration();
        if (calibration.hasNmPerPixel()) {
            nmPerPixel = calibration.getNmPerPixel();
        }
    }
    // Sort descending by number in the frame
    ResultsSample[] sample = list.toArray(new ResultsSample[list.size()]);
    Arrays.sort(sample, rcc);
    int[] xyz = new int[3];
    Rectangle stackBounds = new Rectangle(stack.getWidth(), stack.getHeight());
    Overlay overlay = new Overlay();
    float[] ox = new float[10], oy = new float[10];
    StringBuilder sb = new StringBuilder();
    if (nmPerPixel == 1)
        sb.append("Sample X Y Z Signal\n");
    else
        sb.append("Sample X(nm) Y(nm) Z(nm) Signal\n");
    for (ResultsSample s : sample) {
        getXYZ(s.index, xyz);
        // Construct the region to extract
        Rectangle target = new Rectangle(xyz[0], xyz[1], size, size);
        target = target.intersection(stackBounds);
        if (target.width == 0 || target.height == 0)
            continue;
        // Extract the frame
        int slice = xyz[2];
        ImageProcessor ip = stack.getProcessor(slice);
        // Cut out the desired pixels (some may be blank if the block overruns the source image)
        ImageProcessor ip2 = ip.createProcessor(size, size);
        for (int y = 0; y < target.height; y++) for (int x = 0, i = y * size, index = (y + target.y) * ip.getWidth() + target.x; x < target.width; x++, i++, index++) {
            ip2.setf(i, ip.getf(index));
        }
        int size = s.size();
        if (size > 0) {
            int position = out.getSize() + 1;
            // Create an ROI with the localisations
            for (int i = 0; i < size; i++) {
                PeakResult p = s.list.get(i);
                ox[i] = p.getXPosition() - xyz[0];
                oy[i] = p.getYPosition() - xyz[1];
                sb.append(position).append(' ');
                sb.append(Utils.rounded(ox[i] * nmPerPixel)).append(' ');
                sb.append(Utils.rounded(oy[i] * nmPerPixel)).append(' ');
                // Z can be stored in the error field
                sb.append(Utils.rounded(p.error * nmPerPixel)).append(' ');
                sb.append(Utils.rounded(p.getSignal())).append('\n');
            }
            PointRoi roi = new PointRoi(ox, oy, size);
            roi.setPosition(position);
            overlay.add(roi);
        }
        out.addSlice(String.format("Frame=%d @ %d,%d px (n=%d)", slice, xyz[0], xyz[1], size), ip2.getPixels());
    }
    if (out.getSize() == 0)
        return null;
    ImagePlus imp = new ImagePlus("Sample", out);
    imp.setOverlay(overlay);
    // Note: Only the info property can be saved to a TIFF file
    imp.setProperty("Info", sb.toString());
    if (nmPerPixel != 1) {
        ij.measure.Calibration cal = new ij.measure.Calibration();
        cal.setUnit("nm");
        cal.pixelHeight = cal.pixelWidth = nmPerPixel;
        imp.setCalibration(cal);
    }
    return imp;
}

Example 8 with ImageProcessor

use of ij.process.ImageProcessor in project GDSC-SMLM by aherbert.

the class ImageConverter method getDoubleData.

/**
	 * Get the data from the image as a double array (include cropping to the ROI). Data is duplicated if the
	 * input already a double array.
	 * <p>
	 * Allows reuse of an existing buffer if provided. This will not be truncated if it is larger than the
	 * ImageProcessor ROI bounds. If smaller then a new buffer will be created.
	 * 
	 * @param oPixels
	 * @param width
	 * @param height
	 * @param bounds
	 * @param buffer
	 * @return The double array data
	 */
public static double[] getDoubleData(final Object oPixels, final int width, final int height, final Rectangle bounds, double[] buffer) {
    if (oPixels == null)
        return null;
    if (oPixels instanceof float[]) {
        float[] pixels = (float[]) oPixels;
        if (bounds != null && (bounds.x != 0 || bounds.y != 0 || bounds.width != width || bounds.height != height)) {
            double[] pixels2 = allocate(buffer, bounds.width * bounds.height);
            for (int ys = bounds.y; ys < bounds.y + bounds.height; ys++) {
                int offset1 = (ys - bounds.y) * bounds.width;
                int offset2 = ys * width + bounds.x;
                for (int xs = 0; xs < bounds.width; xs++) pixels2[offset1++] = pixels[offset2++];
            }
            return pixels2;
        } else {
            double[] pixels2 = allocate(buffer, pixels.length);
            for (int i = 0; i < pixels.length; i++) pixels2[i] = pixels[i];
            return pixels2;
        }
    } else if (oPixels instanceof short[]) {
        short[] pixels = (short[]) oPixels;
        if (bounds != null && (bounds.x != 0 || bounds.y != 0 || bounds.width != width || bounds.height != height)) {
            double[] pixels2 = allocate(buffer, bounds.width * bounds.height);
            for (int ys = bounds.y; ys < bounds.y + bounds.height; ys++) {
                int offset1 = (ys - bounds.y) * bounds.width;
                int offset2 = ys * width + bounds.x;
                for (int xs = 0; xs < bounds.width; xs++) pixels2[offset1++] = pixels[offset2++] & 0xffff;
            }
            return pixels2;
        } else {
            double[] pixels2 = allocate(buffer, pixels.length);
            for (int i = 0; i < pixels.length; i++) pixels2[i] = pixels[i] & 0xffff;
            return pixels2;
        }
    } else if (oPixels instanceof byte[]) {
        byte[] pixels = (byte[]) oPixels;
        if (bounds != null && (bounds.x != 0 || bounds.y != 0 || bounds.width != width || bounds.height != height)) {
            double[] pixels2 = allocate(buffer, bounds.width * bounds.height);
            for (int ys = bounds.y; ys < bounds.y + bounds.height; ys++) {
                int offset1 = (ys - bounds.y) * bounds.width;
                int offset2 = ys * width + bounds.x;
                for (int xs = 0; xs < bounds.width; xs++) pixels2[offset1++] = pixels[offset2++] & 0xff;
            }
            return pixels2;
        } else {
            double[] pixels2 = allocate(buffer, pixels.length);
            for (int i = 0; i < pixels.length; i++) pixels2[i] = pixels[i] & 0xff;
            return pixels2;
        }
    } else if (oPixels instanceof int[]) {
        // The default processing
        ImageProcessor ip = new ColorProcessor(width, height, (int[]) oPixels);
        ip.setRoi(bounds);
        FloatProcessor fp = ip.crop().toFloat(0, null);
        return (double[]) fp.getPixels();
    }
    return null;
}

Example 9 with ImageProcessor

use of ij.process.ImageProcessor in project GDSC-SMLM by aherbert.

the class FIRE method createImages.

/**
	 * Creates the images to use for the FIRE calculation. This must be called after
	 * {@link #initialise(MemoryPeakResults, MemoryPeakResults)}.
	 *
	 * @param fourierImageScale
	 *            the fourier image scale (set to zero to auto compute)
	 * @param imageSize
	 *            the image size
	 * @param useSignal
	 *            Use the localisation signal to weight the intensity. The default uses a value of 1 per localisation.
	 * @return the fire images
	 */
public FireImages createImages(double fourierImageScale, int imageSize, boolean useSignal) {
    if (results == null)
        return null;
    final SignalProvider signalProvider = (useSignal && (results.getHead().getSignal() > 0)) ? new PeakSignalProvider() : new FixedSignalProvider();
    // Draw images using the existing IJ routines.
    Rectangle bounds = new Rectangle(0, 0, (int) Math.ceil(dataBounds.getWidth()), (int) Math.ceil(dataBounds.getHeight()));
    boolean weighted = true;
    boolean equalised = false;
    double imageScale;
    if (fourierImageScale <= 0) {
        double size = FastMath.max(bounds.width, bounds.height);
        if (size <= 0)
            size = 1;
        imageScale = imageSize / size;
    } else
        imageScale = fourierImageScale;
    IJImagePeakResults image1 = ImagePeakResultsFactory.createPeakResultsImage(ResultsImage.NONE, weighted, equalised, "IP1", bounds, 1, 1, imageScale, 0, ResultsMode.ADD);
    image1.setDisplayImage(false);
    image1.begin();
    IJImagePeakResults image2 = ImagePeakResultsFactory.createPeakResultsImage(ResultsImage.NONE, weighted, equalised, "IP2", bounds, 1, 1, imageScale, 0, ResultsMode.ADD);
    image2.setDisplayImage(false);
    image2.begin();
    float minx = (float) dataBounds.getX();
    float miny = (float) dataBounds.getY();
    if (this.results2 != null) {
        // Two image comparison
        for (PeakResult p : results) {
            float x = p.getXPosition() - minx;
            float y = p.getYPosition() - miny;
            image1.add(x, y, signalProvider.getSignal(p));
        }
        for (PeakResult p : results2) {
            float x = p.getXPosition() - minx;
            float y = p.getYPosition() - miny;
            image2.add(x, y, signalProvider.getSignal(p));
        }
    } else {
        // Block sampling.
        // Ensure we have at least 2 even sized blocks.
        int blockSize = Math.min(results.size() / 2, Math.max(1, FIRE.blockSize));
        int nBlocks = (int) Math.ceil((double) results.size() / blockSize);
        while (nBlocks <= 1 && blockSize > 1) {
            blockSize /= 2;
            nBlocks = (int) Math.ceil((double) results.size() / blockSize);
        }
        if (nBlocks <= 1)
            // This should not happen since the results should contain at least 2 localisations
            return null;
        if (blockSize != FIRE.blockSize)
            IJ.log(TITLE + " Warning: Changed block size to " + blockSize);
        int i = 0;
        int block = 0;
        PeakResult[][] blocks = new PeakResult[nBlocks][blockSize];
        for (PeakResult p : results) {
            if (i == blockSize) {
                block++;
                i = 0;
            }
            blocks[block][i++] = p;
        }
        // Truncate last block
        blocks[block] = Arrays.copyOf(blocks[block], i);
        final int[] indices = Utils.newArray(nBlocks, 0, 1);
        if (randomSplit)
            MathArrays.shuffle(indices);
        for (int index : indices) {
            // Split alternating so just rotate
            IJImagePeakResults image = image1;
            image1 = image2;
            image2 = image;
            for (PeakResult p : blocks[index]) {
                float x = p.getXPosition() - minx;
                float y = p.getYPosition() - miny;
                image.add(x, y, signalProvider.getSignal(p));
            }
        }
    }
    image1.end();
    ImageProcessor ip1 = image1.getImagePlus().getProcessor();
    image2.end();
    ImageProcessor ip2 = image2.getImagePlus().getProcessor();
    if (maxPerBin > 0 && signalProvider instanceof FixedSignalProvider) {
        // We can eliminate over-sampled pixels
        for (int i = ip1.getPixelCount(); i-- > 0; ) {
            if (ip1.getf(i) > maxPerBin)
                ip1.setf(i, maxPerBin);
            if (ip2.getf(i) > maxPerBin)
                ip2.setf(i, maxPerBin);
        }
    }
    return new FireImages(ip1, ip2, nmPerPixel / imageScale);
}

Example 10 with ImageProcessor

use of ij.process.ImageProcessor in project GDSC-SMLM by aherbert.

the class ImageBackground method applyBlur.

private ImageProcessor applyBlur(ImageProcessor median) {
    ImageProcessor blur = median;
    if (sigma > 0) {
        blur = median.duplicate();
        GaussianBlur gb = new GaussianBlur();
        gb.blurGaussian(blur, sigma, sigma, 0.0002);
    }
    return blur;
}