Examples with GrayS16 boofcv.struct.image.GrayS16 used on opensource projects

Example 36 with GrayS16

use of boofcv.struct.image.GrayS16 in project BoofCV by lessthanoptimal.

the class DerivativeHelperFunctions method processBorderHorizontal.

public static void processBorderHorizontal(GrayU8 orig, GrayS16 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) {
    borderType.setImage(orig);
    ConvolveJustBorder_General_SB.horizontal(kernel, borderType, deriv);
    GrayU8 origSub;
    GrayS16 derivSub;
    origSub = orig.subimage(0, 0, orig.width, 2, null);
    derivSub = deriv.subimage(0, 0, orig.width, 2, null);
    ConvolveImageNoBorder.horizontal(kernel, origSub, derivSub);
    origSub = orig.subimage(0, orig.height - 2, orig.width, orig.height, null);
    derivSub = deriv.subimage(0, orig.height - 2, orig.width, orig.height, null);
    ConvolveImageNoBorder.horizontal(kernel, origSub, derivSub);
}

Example 37 with GrayS16

use of boofcv.struct.image.GrayS16 in project BoofCV by lessthanoptimal.

the class DerivativeHelperFunctions method processBorderVertical.

public static void processBorderVertical(GrayU8 orig, GrayS16 deriv, Kernel1D_S32 kernel, ImageBorder_S32 borderType) {
    borderType.setImage(orig);
    ConvolveJustBorder_General_SB.vertical(kernel, borderType, deriv);
    GrayU8 origSub;
    GrayS16 derivSub;
    origSub = orig.subimage(0, 0, 2, orig.height, null);
    derivSub = deriv.subimage(0, 0, 2, orig.height, null);
    ConvolveImageNoBorder.vertical(kernel, origSub, derivSub);
    origSub = orig.subimage(orig.width - 2, 0, orig.width, orig.height, null);
    derivSub = deriv.subimage(orig.width - 2, 0, orig.width, orig.height, null);
    ConvolveImageNoBorder.vertical(kernel, origSub, derivSub);
}

Example 38 with GrayS16

use of boofcv.struct.image.GrayS16 in project BoofCV by lessthanoptimal.

the class TestConvolveNormalizedStandardSparse method checkMethod.

private void checkMethod(Method method, int width, int height, int kernelRadius, Random rand) {
    GrayU8 seedImage = new GrayU8(width, height);
    ImageMiscOps.fillUniform(seedImage, rand, 0, 255);
    // creates a floating point image with integer elements
    GrayF32 floatImage = new GrayF32(width, height);
    ConvertImage.convert(seedImage, floatImage);
    GrayS16 shortImage = new GrayS16(width, height);
    ConvertImage.convert(seedImage, shortImage);
    kernelI32 = FactoryKernelGaussian.gaussian(Kernel1D_S32.class, -1, kernelRadius);
    kernelF32 = FactoryKernelGaussian.gaussian(Kernel1D_F32.class, -1, kernelRadius);
    boolean isFloatingKernel = method.getParameterTypes()[0] == Kernel1D_F32.class;
    Class<?> imageType = method.getParameterTypes()[2];
    ImageGray<?> inputImage;
    if (imageType == GrayF32.class) {
        inputImage = floatImage;
        expectedOutput = computeExpected(floatImage);
    } else if (imageType == GrayU8.class) {
        inputImage = seedImage;
        expectedOutput = computeExpected(seedImage);
    } else {
        inputImage = shortImage;
        expectedOutput = computeExpected(shortImage);
    }
    Object inputKernel = isFloatingKernel ? kernelF32 : kernelI32;
    Object inputStorage = isFloatingKernel ? new float[kernelI32.width] : new int[kernelI32.width];
    checkResults(method, inputKernel, inputImage, inputStorage);
}

Example 39 with GrayS16

use of boofcv.struct.image.GrayS16 in project BoofCV by lessthanoptimal.

the class TestGradientPrewitt method compareToConvolve_I8.

@Test
public void compareToConvolve_I8() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientPrewitt.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.class, ImageBorder_S32.class));
    validator.setKernel(0, GradientPrewitt.kernelDerivX_I32);
    validator.setKernel(1, GradientPrewitt.kernelDerivY_I32);
    GrayU8 input = new GrayU8(width, height);
    ImageMiscOps.fillUniform(input, rand, 0, 10);
    GrayS16 derivX = new GrayS16(width, height);
    GrayS16 derivY = new GrayS16(width, height);
    validator.compare(input, derivX, derivY);
}

Example 40 with GrayS16

use of boofcv.struct.image.GrayS16 in project BoofCV by lessthanoptimal.

the class TestGradientPrewitt method compareToConvolve_I16.

@Test
public void compareToConvolve_I16() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientPrewitt.class.getMethod("process", GrayS16.class, GrayS16.class, GrayS16.class, ImageBorder_S32.class));
    validator.setKernel(0, GradientPrewitt.kernelDerivX_I32);
    validator.setKernel(1, GradientPrewitt.kernelDerivY_I32);
    GrayS16 input = new GrayS16(width, height);
    ImageMiscOps.fillUniform(input, rand, 0, 10);
    GrayS16 derivX = new GrayS16(width, height);
    GrayS16 derivY = new GrayS16(width, height);
    validator.compare(input, derivX, derivY);
}