Java ShortProcessor类代码示例

import ij.process.ShortProcessor; //导入依赖的package包/类
/**
 * Creates a test .tif file as an example background.
 */
@Before
public void setUp () throws IOException {
    // Create an array of pixels increasing from 0 to 8.
    int nX = 3; int nY = 3; int counter = 0;
    int[][] pixels = new int[nY][nX];
    for (int y = 0; y < nY; y++) {
        for (int x = 0; x < nX; x++) {
            pixels[y][x] = counter++;
        }
    }
    
    // Create an image from the array of pixels
    ShortProcessor sp = new ShortProcessor(nX, nY);
    sp.setIntArray(pixels);
    expResult = sp.getFloatArray();
    
    // Save the example image
    String filename = "Example-Background.tif";
    backgroundFile = tempDir.newFile(filename);
    ImagePlus imp = new ImagePlus("Example-Background", sp);
    IJ.save(imp, backgroundFile.getAbsolutePath());
    assertTrue(backgroundFile.exists());
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
/**
 * Converts image file into a BufferedImage
 *
 * @param inputFile
 * @return
 * @throws IOException
 */
public static BufferedImage convertImageFileToBI(String inputFile) throws IOException {

    BufferedImage bi = null;


    try {
        ImageIO.setUseCache(false);
        bi = ImageIO.read(new File(inputFile));
    } catch (javax.imageio.IIOException e) // in case tiff format is not recognized, try to resolve exception using ImagePlus (ImageJ) methods
    {
        if (inputFile.endsWith(".tif") || inputFile.endsWith(".tiff")) {
            ImagePlus ip = new ImagePlus(inputFile); // :TODO validate if tiff to be read is truly 16 bit :: otherwise there could be a scaling issue occurring afterwards
            bi = ((ShortProcessor) ip.getProcessor().convertToShort(false)).get16BitBufferedImage();
        } else {
            throw e;
        }
    }

    return bi;
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
public static ShortProcessor labelImage(ImageProcessor ip, float threshold, boolean conn8) {
	int w = ip.getWidth();
	int h = ip.getHeight();
	short shortMax = (short)65535;
	ShortProcessor sp = new ShortProcessor(w, h);
	short[] pxShort = (short[])sp.getPixels();
	for (int i = 0; i < w*h; i++) {
		if (ip.getf(i) > threshold)
			pxShort[i] = shortMax;
	}
	// Loop through and flood fill
	FloodFiller ff = new FloodFiller(sp);
	double label = 0;
	for (int i = 0; i < pxShort.length; i++) {
		if (pxShort[i] == shortMax) {
			label++;
			sp.setValue(label);
			if (conn8)
				ff.fill8(i % w, i / w);
			else
				ff.fill(i % w, i / w);
		}
	}
	sp.setMinAndMax(0, label);
	return sp;
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
@Override
public void run() {
    for(int f = frame_start; f <= frame_end; f++) {
        if(Thread.interrupted()) {
            local_stack.clear();
            local_table.clear();
            return;
        }
        processingNewFrame("ThunderSTORM is generating frame %d out of %d...");
        FloatProcessor backgroundMeanIntensity;
        backgroundMeanIntensity = createBackgroundIntensityImage();
        Vector<EmitterModel> molecules = singleFixedMolecule
                ? datagen.generateSingleFixedMolecule(width, height, 0, 0, intensity_range, psf)
                : datagen.generateMolecules(width, height, densityMask, density, intensity_range, psf);
        ShortProcessor slice = datagen.renderFrame(width, height, f, drift, molecules, backgroundMeanIntensity);
        local_stack.add(slice);
        local_table.add(molecules);
    }
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
private ImageProcessor createNewProcessor(int imageWidth, int imageHeight)
{
	// Equalised display requires a 16-bit image to allow fast processing of the histogram 
	if ((displayFlags & DISPLAY_EQUALIZED) != 0)
	{
		pixels = new short[data.length];
		return new ShortProcessor(imageWidth, imageHeight, (short[]) pixels, null);
	}
	else
	{
		pixels = new float[data.length];

		// Special float processor that maps all values to 1-255 in the LUT.
		// Zero is mapped to 0 in the LUT.
		if ((displayFlags & DISPLAY_MAPPED) != 0)
		{
			MappedFloatProcessor fp = new MappedFloatProcessor(imageWidth, imageHeight, (float[]) pixels, null);
			fp.setMapZero((displayFlags & DISPLAY_MAP_ZERO) != 0);
			return fp;
		}

		return new FloatProcessor(imageWidth, imageHeight, (float[]) pixels, null);
	}
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
/**
 * Converts the specified ARGB label image to a 16-bit gray image.
 * Only uses the two lowest order RGB bytes for each pixel (the green and blue values)
 * to calculate the pixel's corresponding 16-bit gray value.
 *
 * @param  image  ARGB image to convert.
 *
 * @return a 16-bit gray image.
 */
public static BufferedImage convertArgbLabelTo16BitGray(final BufferedImage image) {

    final long startTime = System.currentTimeMillis();

    final int width = image.getWidth();
    final int height = image.getHeight();

    int p = 0;
    final short[] convertedPixels = new short[width * height];
    for (int y = 0; y < height; y++) {
        for (int x = 0; x < width; x++) {
            convertedPixels[p] = (short) image.getRGB(x, y);
            p++;
        }
    }

    final ShortProcessor sp = new ShortProcessor(width, height);
    sp.setPixels(convertedPixels);

    final long elapsedTime = System.currentTimeMillis() - startTime;
    LOG.debug("convertArgbLabelTo16BitGray: converted {} pixels in {} milliseconds", convertedPixels.length, elapsedTime);

    return sp.get16BitBufferedImage();
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
public BorderManager createBorderManager(ImageProcessor image) {
	switch((Type) this) {
	case REPLICATED:
		return new ReplicatedBorder(image);
	case PERIODIC:
		return new PeriodicBorder(image);
	case MIRRORED:
		return new MirroringBorder(image);
	case BLACK:
		return new ConstantBorder(image, 0);
	case WHITE:
		return new ConstantBorder(image, 0xFFFFFF);
	case GRAY:
		if (image instanceof ColorProcessor)
			return new ConstantBorder(image, 0x7F7F7F);
		if (image instanceof ShortProcessor)
			return new ConstantBorder(image, 0x007FFF);
		return new ConstantBorder(image, 127);
	default:
		throw new RuntimeException("Unknown border manager for type "  + this);
	}
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
/**
 * Creates a label image with the appropriate class to store the required
 * number of labels.
 * 
 * @param width
 *            the width of the new label image
 * @param height
 *            the height of the new label image
 * @param nLabels
 *            expected number of labels in new image
 * @return a new ImageProcessor with type adapted to store the expected
 *         number of labels
 */
public static final ImageProcessor createLabelImage(int width, int height,
		int nLabels)	
{
	if (nLabels < 256) 
	{
		return new ByteProcessor(width, height);
	} 
	else if (nLabels < 256 * 256) 
	{
		return new ShortProcessor(width, height);
	} 
	else if (nLabels < (0x01 << 23)) 
	{
		return new FloatProcessor(width, height);
	} 
	else 
	{
		IJ.error("Too many classes");
		return null;
	}
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
private ShortProcessor initialize(ImageProcessor marker)
{
	// size of image
	sizeX = marker.getWidth();
	sizeY = marker.getHeight();
	
	ShortProcessor distMap = new ShortProcessor(sizeX, sizeY);
	distMap.setValue(0);
	distMap.fill();

	// initialize empty image with either 0 (foreground) or Inf (background)
	for (int y = 0; y < sizeY; y++) 
	{
		for (int x = 0; x < sizeX; x++) 
		{
			int val = marker.get(x, y) & 0x00ff;
			distMap.set(x, y, val == 0 ? Short.MAX_VALUE : 0);
		}
	}

	return distMap;
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
private ShortProcessor initializeResult(ImageProcessor labelImage)
{
	// size of image
	int sizeX = labelImage.getWidth();
	int sizeY = labelImage.getHeight();

	// create new empty image, and fill it with black
	ShortProcessor distMap = new ShortProcessor(sizeX, sizeY);
	distMap.setValue(0);
	distMap.fill();

	// initialize empty image with either 0 (background) or Inf (foreground)
	for (int y = 0; y < sizeY; y++) 
	{
		for (int x = 0; x < sizeX; x++)
		{
			int label = (int) labelImage.getf(x, y);
			distMap.set(x, y, label == 0 ? 0 : Short.MAX_VALUE);
		}
	}
	
	return distMap;
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
/**
 * Normalises the image. Performs a thresholding on the image using the Otsu method.
 * Then scales the pixels above the threshold from 0 to 255.
 * 
 * @param ip
 *            The input image
 */
private void normalise(FloatProcessor ip)
{
	float[] pixels = (float[]) ip.getPixels();

	ShortProcessor sp = (ShortProcessor) ip.convertToShort(true);
	int[] data = sp.getHistogram();
	int threshold = AutoThreshold.getThreshold(Method.OTSU, data);
	float minf = (float) threshold;
	float maxf = (float) sp.getMax();

	float scaleFactor = 255.0f / (maxf - minf);

	for (int i = pixels.length; i-- > 0;)
	{
		pixels[i] = (Math.max((float) sp.get(i), minf) - minf) * scaleFactor;
	}
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
/**
 * Get an image processor containing the object mask.
 *
 * @return the image processor
 */
public ImageProcessor toProcessor()
{
	int max = getMaxObject();
	ImageProcessor ip = (max > 255) ? (max > 65535) ? new FloatProcessor(getWidth(), getHeight())
			: new ShortProcessor(getWidth(), getHeight()) : new ByteProcessor(getWidth(), getHeight());
	if (max > 65535)
	{
		for (int i = objectMask.length; i-- > 0;)
			ip.setf(i, objectMask[i]);
	}
	else
	{
		for (int i = objectMask.length; i-- > 0;)
			ip.set(i, objectMask[i]);
	}
	ip.setMinAndMax(0, max);
	return ip;
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
public boolean isNoThreshold(ImagePlus imp)
{
	boolean noThreshold = false;
	ImageProcessor ip = imp.getProcessor();
	double t1 = ip.getMinThreshold();
	int imageType;
	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))
		{
			noThreshold = true;
		}
	}
	return noThreshold;
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
private static ImagePlus createImageData3D()
{
	// Create an image with peaks
	int size = 64;
	int z = 5;
	int n = 20;
	float[][] data1 = createSpots3D(size, z, n, 5000, 10000, 2.5, 3.0);
	float[][] data2 = createSpots3D(size, z, n, 10000, 20000, 4.5, 3.5);
	float[][] data3 = createSpots3D(size, z, n, 20000, 40000, 6.5, 5);
	ImageStack stack = new ImageStack(size, size);
	for (int i = 0; i < data1.length; i++)
	{
		short[] data = combine(data1[i], data2[i], data3[i]);
		stack.addSlice(new ShortProcessor(size, size, data, null));
	}
	// Show
	String title = "FindFociTest3D";
	//gdsc.core.ij.Utils.display(title, stack);
	return new ImagePlus(title, stack);
}
 

import ij.process.ShortProcessor; //导入依赖的package包/类
/**
 * Generates a new frame based on the current device state, and moves
 * device state forward.
 * First the obstructions are drawn on the frame, then the fluorophores,
 * and afterwards noise is added.
 * @return simulated frame
 */
public ShortProcessor simulateFrame() {
    float[][] pixels = new float[camera.res_x][camera.res_y];
    for (int row = 0; row < pixels.length; row++)
        Arrays.fill(pixels[row], 0.0f);
    
    // Add obstructions
    if (obstructors != null) {
        for (Obstructor o: obstructors) {
            o.applyTo(pixels);
        }
    }
    // Add emitters
    // The applyTo method also handles fluorophore state changes by calling
    // the simulateBrightness() method of an emitter.
    for (Fluorophore f: fluorophores) {
        f.applyTo(pixels);
    }
    
    // Add noise
    addNoises(pixels);
    
    // Convert signal to ADU and add baseline.
    for (int x = 0; x < pixels.length; x++) {
        for (int y = 0; y < pixels[0].length; y++) {
            pixels[x][y] *= camera.ADU_per_electron;
            pixels[x][y] += camera.baseline;
        }
    }
    
    // Convert to short array
    FloatProcessor fp = new FloatProcessor(pixels);
    return fp.convertToShortProcessor(false);
}