Examples with InterleavedF32 boofcv.struct.image.InterleavedF32 used on opensource projects

Example 1 with InterleavedF32

use of boofcv.struct.image.InterleavedF32 in project BoofCV by lessthanoptimal.

the class TestImageDistortBasic_IL method applyRenderAll_true.

@Test
public void applyRenderAll_true() {
    Helper alg = new Helper(interp);
    alg.setRenderAll(true);
    offX = offY = 0;
    alg.reset();
    alg.setModel(tran);
    alg.apply(new InterleavedF32(10, 15, NUM_BANDS), new InterleavedF32(10, 15, NUM_BANDS));
    assertEquals(150, alg.getTotal());
    offX = offY = 0.1f;
    alg.reset();
    alg.setModel(tran);
    alg.apply(new InterleavedF32(10, 15, NUM_BANDS), new InterleavedF32(10, 15, NUM_BANDS));
    assertEquals(150, alg.getTotal());
    offX = offY = -0.1f;
    alg.reset();
    alg.setModel(tran);
    alg.apply(new InterleavedF32(10, 15, NUM_BANDS), new InterleavedF32(10, 15, NUM_BANDS));
    assertEquals(150, alg.getTotal());
}

Example 2 with InterleavedF32

use of boofcv.struct.image.InterleavedF32 in project BoofCV by lessthanoptimal.

the class TestInterleavedImageOps method split2.

@Test
public void split2() {
    InterleavedF32 interleaved = new InterleavedF32(2, 4, 2);
    for (int i = 0; i < interleaved.data.length; i++) {
        interleaved.data[i] = i + 1;
    }
    GrayF32 a = new GrayF32(2, 4);
    GrayF32 b = new GrayF32(2, 4);
    InterleavedImageOps.split2(interleaved, a, b);
    for (int y = 0; y < interleaved.height; y++) {
        for (int x = 0; x < interleaved.width; x++) {
            assertEquals(interleaved.getBand(x, y, 0), a.get(x, y), 1e-8);
            assertEquals(interleaved.getBand(x, y, 1), b.get(x, y), 1e-8);
        }
    }
}

Example 3 with InterleavedF32

use of boofcv.struct.image.InterleavedF32 in project BoofCV by lessthanoptimal.

the class GeneralFft_to_DiscreteFourierTransform_F32 method inverse.

@Override
public void inverse(InterleavedF32 transform, GrayF32 image) {
    DiscreteFourierTransformOps.checkImageArguments(image, transform);
    if (image.isSubimage() || transform.isSubimage())
        throw new IllegalArgumentException("Subimages are not supported");
    checkDeclareAlg(image);
    // If he user lets us, modify the transform
    InterleavedF32 workImage;
    if (modifyInputs) {
        workImage = transform;
    } else {
        tmp.reshape(transform.width, transform.height);
        tmp.setTo(transform);
        workImage = tmp;
    }
    alg.complexInverse(workImage.data, true);
    // copy the real portion.  imaginary should be zeros
    int N = image.width * image.height;
    for (int i = 0; i < N; i++) {
        image.data[i] = workImage.data[i * 2];
    }
}

Example 4 with InterleavedF32

use of boofcv.struct.image.InterleavedF32 in project BoofCV by lessthanoptimal.

the class TestInterleavedImageOps method merge2.

@Test
public void merge2() {
    GrayF32 a = new GrayF32(2, 4);
    GrayF32 b = new GrayF32(2, 4);
    for (int i = 0; i < a.data.length; i++) {
        a.data[i] = i * 2 + 1;
        b.data[i] = i * 2 + 2;
    }
    InterleavedF32 interleaved = new InterleavedF32(2, 4, 2);
    InterleavedImageOps.merge2(a, b, interleaved);
    for (int y = 0; y < interleaved.height; y++) {
        for (int x = 0; x < interleaved.width; x++) {
            assertEquals(a.get(x, y), interleaved.getBand(x, y, 0), 1e-8);
            assertEquals(b.get(x, y), interleaved.getBand(x, y, 1), 1e-8);
        }
    }
}

Example 5 with InterleavedF32

use of boofcv.struct.image.InterleavedF32 in project BoofCV by lessthanoptimal.

the class ExampleFourierTransform method applyBoxFilter.

/**
 * Demonstration of how to apply a box filter in the frequency domain and compares the results
 * to a box filter which has been applied in the spatial domain
 */
public static void applyBoxFilter(GrayF32 input) {
    // declare storage
    GrayF32 boxImage = new GrayF32(input.width, input.height);
    InterleavedF32 boxTransform = new InterleavedF32(input.width, input.height, 2);
    InterleavedF32 transform = new InterleavedF32(input.width, input.height, 2);
    GrayF32 blurredImage = new GrayF32(input.width, input.height);
    GrayF32 spatialBlur = new GrayF32(input.width, input.height);
    DiscreteFourierTransform<GrayF32, InterleavedF32> dft = DiscreteFourierTransformOps.createTransformF32();
    // Make the image scaled from 0 to 1 to reduce overflow issues
    PixelMath.divide(input, 255.0f, input);
    // compute the Fourier Transform
    dft.forward(input, transform);
    // the image edges
    for (int y = 0; y < 15; y++) {
        int yy = y - 7 < 0 ? boxImage.height + (y - 7) : y - 7;
        for (int x = 0; x < 15; x++) {
            int xx = x - 7 < 0 ? boxImage.width + (x - 7) : x - 7;
            // Set the value such that it doesn't change the image intensity
            boxImage.set(xx, yy, 1.0f / (15 * 15));
        }
    }
    // compute the DFT for the box filter
    dft.forward(boxImage, boxTransform);
    // Visualize the Fourier Transform for the input image and the box filter
    displayTransform(transform, "Input Image");
    displayTransform(boxTransform, "Box Filter");
    // apply the filter. convolution in spacial domain is the same as multiplication in the frequency domain
    DiscreteFourierTransformOps.multiplyComplex(transform, boxTransform, transform);
    // convert the image back and display the results
    dft.inverse(transform, blurredImage);
    // undo change of scale
    PixelMath.multiply(blurredImage, 255.0f, blurredImage);
    PixelMath.multiply(input, 255.0f, input);
    // For sake of comparison, let's compute the box blur filter in the spatial domain
    // NOTE: The image border will be different since the frequency domain wraps around and this implementation
    // of the spacial domain adapts the kernel size
    BlurImageOps.mean(input, spatialBlur, 7, null);
    // Convert to BufferedImage for output
    BufferedImage originOut = ConvertBufferedImage.convertTo(input, null);
    BufferedImage spacialOut = ConvertBufferedImage.convertTo(spatialBlur, null);
    BufferedImage blurredOut = ConvertBufferedImage.convertTo(blurredImage, null);
    ListDisplayPanel listPanel = new ListDisplayPanel();
    listPanel.addImage(originOut, "Original Image");
    listPanel.addImage(spacialOut, "Spacial Domain Box");
    listPanel.addImage(blurredOut, "Frequency Domain Box");
    ShowImages.showWindow(listPanel, "Box Blur in Spacial and Frequency Domain of Input Image");
}