Examples with GrayS8 boofcv.struct.image.GrayS8 used on opensource projects

Example 1 with GrayS8

use of boofcv.struct.image.GrayS8 in project BoofCV by lessthanoptimal.

the class VisualizeLineRansac method process.

public void process(BufferedImage image) {
    int regionSize = 40;
    I input = GeneralizedImageOps.createSingleBand(imageType, image.getWidth(), image.getHeight());
    D derivX = GeneralizedImageOps.createSingleBand(derivType, image.getWidth(), image.getHeight());
    D derivY = GeneralizedImageOps.createSingleBand(derivType, image.getWidth(), image.getHeight());
    GrayF32 edgeIntensity = new GrayF32(input.width, input.height);
    GrayF32 suppressed = new GrayF32(input.width, input.height);
    GrayF32 orientation = new GrayF32(input.width, input.height);
    GrayS8 direction = new GrayS8(input.width, input.height);
    GrayU8 detected = new GrayU8(input.width, input.height);
    ModelManager<LinePolar2D_F32> manager = new ModelManagerLinePolar2D_F32();
    GridLineModelDistance distance = new GridLineModelDistance((float) (Math.PI * 0.75));
    GridLineModelFitter fitter = new GridLineModelFitter((float) (Math.PI * 0.75));
    ModelMatcher<LinePolar2D_F32, Edgel> matcher = new Ransac<>(123123, manager, fitter, distance, 25, 1);
    ImageGradient<I, D> gradient = FactoryDerivative.sobel(imageType, derivType);
    System.out.println("Image width " + input.width + " height " + input.height);
    ConvertBufferedImage.convertFromSingle(image, input, imageType);
    gradient.process(input, derivX, derivY);
    GGradientToEdgeFeatures.intensityAbs(derivX, derivY, edgeIntensity);
    // non-max suppression on the lines
    // GGradientToEdgeFeatures.direction(derivX,derivY,orientation);
    // GradientToEdgeFeatures.discretizeDirection4(orientation,direction);
    // GradientToEdgeFeatures.nonMaxSuppression4(edgeIntensity,direction,suppressed);
    GThresholdImageOps.threshold(edgeIntensity, detected, 30, false);
    GridRansacLineDetector<GrayF32> alg = new ImplGridRansacLineDetector_F32(40, 10, matcher);
    alg.process((GrayF32) derivX, (GrayF32) derivY, detected);
    MatrixOfList<LineSegment2D_F32> gridLine = alg.getFoundLines();
    ConnectLinesGrid connect = new ConnectLinesGrid(Math.PI * 0.01, 1, 8);
    // connect.process(gridLine);
    // LineImageOps.pruneClutteredGrids(gridLine,3);
    List<LineSegment2D_F32> found = gridLine.createSingleList();
    System.out.println("size = " + found.size());
    LineImageOps.mergeSimilar(found, (float) (Math.PI * 0.03), 5f);
    // LineImageOps.pruneSmall(found,40);
    System.out.println("after size = " + found.size());
    ImageLinePanel gui = new ImageLinePanel();
    gui.setBackground(image);
    gui.setLineSegments(found);
    gui.setPreferredSize(new Dimension(image.getWidth(), image.getHeight()));
    BufferedImage renderedBinary = VisualizeBinaryData.renderBinary(detected, false, null);
    ShowImages.showWindow(renderedBinary, "Detected Edges");
    ShowImages.showWindow(gui, "Detected Lines");
}

Example 2 with GrayS8

use of boofcv.struct.image.GrayS8 in project BoofCV by lessthanoptimal.

the class VisualizeCannySteps method main.

// static String fileName = UtilIO.pathExample("indoors01.jpg");
// static String fileName = UtilIO.pathExample("shapes01.png)";
public static void main(String[] args) {
    BufferedImage input = UtilImageIO.loadImage(fileName);
    GrayF32 inputF32 = ConvertBufferedImage.convertFrom(input, (GrayF32) null);
    GrayF32 blurred = new GrayF32(inputF32.width, inputF32.height);
    GrayF32 derivX = new GrayF32(inputF32.width, inputF32.height);
    GrayF32 derivY = new GrayF32(inputF32.width, inputF32.height);
    GrayF32 intensity = new GrayF32(inputF32.width, inputF32.height);
    GrayF32 orientation = new GrayF32(inputF32.width, inputF32.height);
    GrayF32 suppressed = new GrayF32(inputF32.width, inputF32.height);
    GrayS8 direction = new GrayS8(inputF32.width, inputF32.height);
    GrayU8 output = new GrayU8(inputF32.width, inputF32.height);
    BlurStorageFilter<GrayF32> blur = FactoryBlurFilter.gaussian(GrayF32.class, -1, 2);
    ImageGradient<GrayF32, GrayF32> gradient = FactoryDerivative.sobel(GrayF32.class, null);
    blur.process(inputF32, blurred);
    gradient.process(blurred, derivX, derivY);
    float threshLow = 5;
    float threshHigh = 40;
    GradientToEdgeFeatures.intensityE(derivX, derivY, intensity);
    GradientToEdgeFeatures.direction(derivX, derivY, orientation);
    GradientToEdgeFeatures.discretizeDirection4(orientation, direction);
    GradientToEdgeFeatures.nonMaxSuppression4(intensity, direction, suppressed);
    BufferedImage renderedOrientation = VisualizeEdgeFeatures.renderOrientation4(direction, suppressed, threshLow, null);
    HysteresisEdgeTraceMark hysteresis = new HysteresisEdgeTraceMark();
    hysteresis.process(suppressed, direction, threshLow, threshHigh, output);
    BufferedImage renderedLabel = VisualizeBinaryData.renderBinary(output, false, null);
    ListDisplayPanel gui = new ListDisplayPanel();
    gui.addImage(suppressed, "Suppressed Intensity");
    gui.addImage(intensity, "Raw Intensity");
    gui.addImage(renderedOrientation, "Orientation");
    gui.addImage(renderedLabel, "Labeled Contours");
    ShowImages.showWindow(gui, "Visualized Canny Steps", true);
}

Example 3 with GrayS8

use of boofcv.struct.image.GrayS8 in project BoofCV by lessthanoptimal.

the class CommonHysteresisEdgeTrace method direction.

public GrayS8 direction(int which) {
    GrayS8 a = new GrayS8();
    setShape(which, a);
    if (which == 0) {
        a.data = dir0;
    } else if (which == 1) {
        a.data = dir1;
    } else if (which == 2) {
        a.data = dir2;
    } else if (which == 3) {
        a.data = dir3;
    } else if (which == 4) {
        a.data = dir4;
    }
    return a.clone();
}

Example 4 with GrayS8

use of boofcv.struct.image.GrayS8 in project BoofCV by lessthanoptimal.

the class TestGradientToEdgeFeatures method nonMaxSuppression8.

@Test
public void nonMaxSuppression8() {
    GrayF32 intensity = new GrayF32(width, height);
    GrayS8 direction = new GrayS8(width, height);
    GrayF32 expected = new GrayF32(width, height);
    GrayF32 found = new GrayF32(width, height);
    BoofTesting.checkSubImage(this, "nonMaxSuppression4", true, intensity, direction, expected, found);
}

Example 5 with GrayS8

use of boofcv.struct.image.GrayS8 in project BoofCV by lessthanoptimal.

the class TestGradientToEdgeFeatures method discretizeDirection8.

@Test
public void discretizeDirection8() {
    GrayF32 angle = new GrayF32(5, 5);
    for (int i = 0; i < 8; i++) {
        angle.data[i] = (float) UtilAngle.bound(i * Math.PI / 4.0);
    }
    GrayS8 d = new GrayS8(5, 5);
    GradientToEdgeFeatures.discretizeDirection8(angle, d);
    for (int i = 0; i < 8; i++) {
        int expected = i > 4 ? i - 8 : i;
        assertEquals(expected, d.data[i]);
    }
}