List of usage examples for java.awt.image Raster getHeight
public final int getHeight()
From source file:org.mrgeo.services.mrspyramid.MrsPyramidServiceTest.java
@Test @Category(UnitTest.class) public void testCreateColorSwatch() throws Exception { String input = TestUtils.composeInputDir(ColorScaleResourceTest.class); MrsPyramidService testInstance = new MrsPyramidService(new Properties()); int width = 100; int height = 10; Raster ri = testInstance.createColorScaleSwatch(createRainbowColorScale(), "png", width, height); assertEquals(ri.getWidth(), width);/* ww w. j a v a 2 s . com*/ assertEquals(ri.getHeight(), height); TestUtils.compareRasters(new File(input + "colorswatch.png"), ri); width = 20; height = 200; ri = testInstance.createColorScaleSwatch(createRainbowColorScale(), "png", width, height); assertEquals(ri.getWidth(), width); assertEquals(ri.getHeight(), height); TestUtils.compareRasters(new File(input + "colorswatchvertical.png"), ri); }
From source file:org.photovault.image.RawConvOpImage.java
/** * Compute single tile of the image/*from w w w . j a va 2s. c o m*/ * @param x * @param y * @return */ @Override public Raster computeTile(int x, int y) { if (contrastLut == null) { createLumLut(); } Raster r = source.getTile(x, y); WritableRaster w = r.createCompatibleWritableRaster(r.getMinX(), r.getMinY(), r.getWidth(), r.getHeight()); int startX = r.getMinX(); int startY = r.getMinY(); for (int l = startY; l < startY + r.getHeight(); l++) { for (int c = startX; c < startX + r.getWidth(); c++) { long sr = r.getSample(c, l, 0); long sg = r.getSample(c, l, 1); long sb = r.getSample(c, l, 2); long avg = (sr + sg + sb) / 3; long m = contrastLut[(int) avg]; long[] pixel = new long[3]; pixel[0] = (sr * m) >> 16; pixel[1] = (sg * m) >> 16; pixel[2] = (sb * m) >> 16; long clippedSum = 0; long totalHeadroom = 0; boolean clipped[] = new boolean[3]; int channelsClipped = 0; int channelsUnclipped = 0; for (int n = 0; n < 3; n++) { if (pixel[n] > 65535) { channelsClipped++; clipped[n] = true; clippedSum += pixel[n] - 65535; } else { clipped[n] = false; totalHeadroom += 65536 - pixel[n]; channelsUnclipped++; } } if (channelsClipped > 0) { for (int n = 0; n < 3; n++) { if (!clipped[n]) { // Spread the clipped energy to other channels so that // they reach saturation at the same time long headroom = 65536 - pixel[n]; pixel[n] += clippedSum * headroom / totalHeadroom; } } } // while ( channelsClipped > 0 && clippedSum > 0 && // channelsUnclipped > 0 ) { // long spreaded = 0; // long spreadPerChan = clippedSum / channelsUnclipped +1; // for ( int n = 0; n < 3; n++ ) { // if ( !clipped[n] ) { // long add = Math.min( spreadPerChan, 65536 - pixel[n] ); // pixel[n] += add; // spreaded += add; // if ( pixel[n] > 65535 ) { // channelsUnclipped--; // } // } // } // clippedSum -= spreaded; // } try { w.setSample(c, l, 0, Math.min(65535, pixel[0])); w.setSample(c, l, 1, Math.min(65535, pixel[1])); w.setSample(c, l, 2, Math.min(65535, pixel[2])); } catch (ArrayIndexOutOfBoundsException e) { log.error(e); } } } return w; }
From source file:org.squidy.designer.util.ImageUtils.java
public static Shape getShapeOfImage(BufferedImage image) { // Get the data Raster data = image.getData(); //// w w w. j a v a 2 s. c om // System.out.println("num of bands = " + data.getNumBands()); // The colour of the pixel looking at // Shoulld have length of 4 (RGBA) int[] lookAt = null; // The map of all the points Point2D[][] pointMap = new Point2D[data.getWidth()][data.getHeight()]; // The from point Point2D from = null; // The general path GeneralPath path = new GeneralPath(); // Go round height for (int y = 0; y < data.getHeight(); y++) { // Go round width for (int x = 0; x < data.getWidth(); x++) { // Get the colour lookAt = data.getPixel(x, y, lookAt); // The alpha int a = lookAt[3]; // If > then 0 if (a > 0) { // Output 1 //System.out.print(1); // Save point pointMap[x][y] = new Point2D.Double(x, y); if (from == null) { from = pointMap[x][y]; } } // 0 else { // Output 0 //System.out.print(0); // Nothing her pointMap[x][y] = null; } } // New line //System.out.println(); } // Move it to the from if (from != null) { path.moveTo(from.getX(), from.getY()); /* * Make the shape */ // Go round height for (int y = 0; y < data.getHeight(); y++) { // Go round width for (int x = 0; x < data.getWidth(); x++) { // If the point is not null if (pointMap[x][y] != null) { // Draw a line to path.append(new Rectangle2D.Double(pointMap[x][y].getX(), pointMap[x][y].getY(), 1, 1), true); // path.lineTo(pointMap[x][y].getX(), pointMap[x][y].getY()); } } } path.closePath(); // TODO: Put in the middle return path; } return null; }
From source file:software.uncharted.image.ImageProcessing.java
/** * histogramByteHash -- compute a color histogram of an image * returned as a byte[] * @param img// ww w. j a va 2 s .c om * @return byte[] histogram */ public static byte[] histogramByteHash(BufferedImage img) { Raster raster = img.getData(); int h = raster.getHeight(); int w = raster.getWidth(); int components = img.getColorModel().getNumComponents(); int pixels = w * h; int[] colors = new int[pixels * components]; raster.getPixels(0, 0, w, h, colors); int[] counts = new int[DISTINCT_COLORS]; int grayScaleCount = 0; for (int i = 0; i < DISTINCT_COLORS; i++) counts[i] = 0; int cIndx = 0; // 'colours' array index for (int i = 0; i < pixels; i++) { int r = colors[cIndx] / COLOR_DIVISOR; // quantizes down to 'COLOR_DEPTH' range int g = (colors[cIndx + 1]) / COLOR_DIVISOR; int b = (colors[cIndx + 2]) / COLOR_DIVISOR; int truncColor = (r * COLOR_DEPTH + g) * COLOR_DEPTH + b; // converts 3D histogram values to 1D concatenated histogram counts[truncColor]++; if (r == g && r == b) grayScaleCount++; cIndx += components; } byte[] result = new byte[DISTINCT_COLORS]; if (grayScaleCount > pixels * 0.95) { //---- grayscale image detected! // set black and white hist bins == max value // and set all other bins == hist values along one of the colour axes // (since r-axis vals = g-axis = b-axis for grayscale) counts[0] = pixels; counts[DISTINCT_COLORS - 1] = pixels; for (int i = 1; i < DISTINCT_COLORS - 1; i++) { counts[i] = 0; } for (int i = 0; i < pixels; i++) { int idx = colors[i * components] * (DISTINCT_COLORS - 2) / 256 + 1; counts[idx]++; } } //---- normalize final histogram for (int i = 0; i < DISTINCT_COLORS; i++) { //int count = (int)Math.ceil((counts[i]*RATIO_MULTIPLIER)/pixels); int count = (int) Math.round((counts[i] * RATIO_MULTIPLIER) / ((double) pixels * HIST_NORM_FACTOR)); result[i] = (byte) (Math.min(count, RATIO_MULTIPLIER) & 0xFF); // Min here to handle potential saturation of hist values } return result; }
From source file:tooltip.ImageComparison.java
public static void setUp() throws Exception { boolean ret = true; System.out.println("Inside Setup C:\\Comcast Project Docs\\Automation\\CAAP AUTOMATION\\Selenium"); //System.setProperty("webdriver.chrome.driver","C:\\Users\\ajavva001c\\Downloads\\chromedriver.exe"); WebDriver driver = new FirefoxDriver(); driver.manage().window().maximize(); driver.get("https://activator-web-qaauto.g1.app.cloud.comcast.net/Activate/comFlow"); File url = new File("C:/Users/ajavva001c/HSD/unpacked.png"); FileInputStream fi = new FileInputStream(url); BufferedImage bufImgOne = ImageIO.read(fi); String s1 = driver.findElement(By.xpath("//*[@id='responsive']/div/div/div[2]/div/ul/li[2]/img")) .getAttribute("src"); URL urls = new URL(s1); System.out.println(urls);/*from w w w .j a va2 s . c om*/ BufferedImage bufImgOne1 = ImageIO.read(urls); Raster image = bufImgOne.getData(); Raster image1 = bufImgOne1.getData(); if (image.getNumBands() != image1.getNumBands() && image.getWidth() != image1.getWidth() && image.getHeight() != image1.getHeight()) { ret = false; System.out.println("fail"); } else { search: for (int i = 0; i < image.getNumBands(); ++i) { for (int x = 0; x < image.getWidth(); ++x) { for (int y = 0; y < image.getHeight(); ++y) { if (image.getSample(x, y, i) != image1.getSample(x, y, i)) { ret = false; break search; } } } } System.out.println(ret); } driver.quit(); }