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

Example 11 with GrayS16

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

the class TestHessianThree method compareToConvolve_I8.

// @Test
// public void checkInputShape() {
// GenericDerivativeTests.checkImageDimensionValidation(new HessianThree(), 2);
// }
@Test
public void compareToConvolve_I8() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(HessianThree.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.class, GrayS16.class, ImageBorder_S32.class));
    validator.setKernel(0, HessianThree.kernelXXYY_I32, true);
    validator.setKernel(1, HessianThree.kernelXXYY_I32, false);
    validator.setKernel(2, HessianThree.kernelCross_I32);
    GrayU8 input = new GrayU8(width, height);
    ImageMiscOps.fillUniform(input, rand, 0, 10);
    GrayS16 derivXX = new GrayS16(width, height);
    GrayS16 derivYY = new GrayS16(width, height);
    GrayS16 derivXY = new GrayS16(width, height);
    validator.compare(input, derivXX, derivYY, derivXY);
}

Example 12 with GrayS16

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

the class TestGradientSobel_Naive method compareToKnown_I8.

/**
 * Compare the results to a hand computed value
 */
@Test
public void compareToKnown_I8() {
    GrayU8 img = new GrayU8(width, height);
    ImageMiscOps.fillUniform(img, rand, 0, 100);
    GrayS16 derivX = new GrayS16(width, height);
    GrayS16 derivY = new GrayS16(width, height);
    BoofTesting.checkSubImage(this, "compareToKnown_I8", true, img, derivX, derivY);
}

Example 13 with GrayS16

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

the class TestConvolveNormalizedStandardSparse method computeExpected.

private float computeExpected(GrayS16 image) {
    GrayS16 temp = new GrayS16(image.width, image.height);
    GrayS16 temp2 = new GrayS16(image.width, image.height);
    ConvolveImageNormalized.horizontal(kernelI32, image, temp);
    ConvolveImageNormalized.vertical(kernelI32, temp, temp2);
    return temp2.get(targetX, targetY);
}

Example 14 with GrayS16

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

the class TestGradientTwo1_Standard method compareToConvolve_I8.

@Test
public void compareToConvolve_I8() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientTwo1_Standard.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.class));
    validator.setKernel(0, GradientTwo1.kernelDeriv_I32, true);
    validator.setKernel(1, GradientTwo1.kernelDeriv_I32, false);
    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(false, input, derivX, derivY);
}

Example 15 with GrayS16

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

the class TestHessianSobel_Shared method compareToConvolve_I8.

@Test
public void compareToConvolve_I8() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(HessianSobel_Shared.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.class, GrayS16.class));
    validator.setKernel(0, HessianSobel.kernelXX_I32);
    validator.setKernel(1, HessianSobel.kernelYY_I32);
    validator.setKernel(2, HessianSobel.kernelXY_I32);
    GrayU8 input = new GrayU8(width, height);
    ImageMiscOps.fillUniform(input, rand, 0, 10);
    GrayS16 derivXX = new GrayS16(width, height);
    GrayS16 derivYY = new GrayS16(width, height);
    GrayS16 derivXY = new GrayS16(width, height);
    validator.compare(false, input, derivXX, derivYY, derivXY);
}