Examples with CompareDerivativeToConvolution boofcv.alg.filter.derivative.CompareDerivativeToConvolution used on opensource projects

Example 6 with CompareDerivativeToConvolution

use of boofcv.alg.filter.derivative.CompareDerivativeToConvolution in project BoofCV by lessthanoptimal.

the class TestGradientPrewitt_Shared method compareToConvolve_I16.

@Test
public void compareToConvolve_I16() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientPrewitt_Shared.class.getMethod("process", GrayS16.class, GrayS16.class, GrayS16.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(false, input, derivX, derivY);
}

Example 7 with CompareDerivativeToConvolution

use of boofcv.alg.filter.derivative.CompareDerivativeToConvolution in project BoofCV by lessthanoptimal.

the class TestGradientPrewitt_Shared method compareToConvolve_I8.

@Test
public void compareToConvolve_I8() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientPrewitt_Shared.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.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(false, input, derivX, derivY);
}

Example 8 with CompareDerivativeToConvolution

use of boofcv.alg.filter.derivative.CompareDerivativeToConvolution in project BoofCV by lessthanoptimal.

the class TestGradientThree_Standard method compareToConvolve_F32.

@Test
public void compareToConvolve_F32() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientThree_Standard.class.getMethod("process", GrayF32.class, GrayF32.class, GrayF32.class));
    validator.setKernel(0, GradientThree.kernelDeriv_F32, true);
    validator.setKernel(1, GradientThree.kernelDeriv_F32, false);
    GrayF32 input = new GrayF32(width, height);
    ImageMiscOps.fillUniform(input, rand, 0, 10);
    GrayF32 derivX = new GrayF32(width, height);
    GrayF32 derivY = new GrayF32(width, height);
    validator.compare(false, input, derivX, derivY);
}

Example 9 with CompareDerivativeToConvolution

use of boofcv.alg.filter.derivative.CompareDerivativeToConvolution in project BoofCV by lessthanoptimal.

the class TestGradientThree_Standard method compareToConvolve_I8_S32.

@Test
public void compareToConvolve_I8_S32() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientThree_Standard.class.getMethod("process", GrayU8.class, GrayS32.class, GrayS32.class));
    validator.setKernel(0, GradientThree.kernelDeriv_I32, true);
    validator.setKernel(1, GradientThree.kernelDeriv_I32, false);
    GrayU8 input = new GrayU8(width, height);
    ImageMiscOps.fillUniform(input, rand, 0, 10);
    GrayS32 derivX = new GrayS32(width, height);
    GrayS32 derivY = new GrayS32(width, height);
    validator.compare(false, input, derivX, derivY);
}

Example 10 with CompareDerivativeToConvolution

use of boofcv.alg.filter.derivative.CompareDerivativeToConvolution in project BoofCV by lessthanoptimal.

the class TestGradientThree_Standard method compareToConvolve_I8_S16.

@Test
public void compareToConvolve_I8_S16() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientThree_Standard.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.class));
    validator.setKernel(0, GradientThree.kernelDeriv_I32, true);
    validator.setKernel(1, GradientThree.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);
}