Examples with ImageBorder_S32 boofcv.core.image.border.ImageBorder_S32 used on opensource projects

Example 16 with ImageBorder_S32

use of boofcv.core.image.border.ImageBorder_S32 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 17 with ImageBorder_S32

use of boofcv.core.image.border.ImageBorder_S32 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);
}

Example 18 with ImageBorder_S32

use of boofcv.core.image.border.ImageBorder_S32 in project BoofCV by lessthanoptimal.

the class TestGradientSobel method compareToConvolve_I8.

@Test
public void compareToConvolve_I8() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientSobel.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.class, ImageBorder_S32.class));
    validator.setKernel(0, GradientSobel.kernelDerivX_I32);
    validator.setKernel(1, GradientSobel.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 19 with ImageBorder_S32

use of boofcv.core.image.border.ImageBorder_S32 in project BoofCV by lessthanoptimal.

the class TestGradientSobel method compareToConvolve_I16.

@Test
public void compareToConvolve_I16() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientSobel.class.getMethod("process", GrayS16.class, GrayS16.class, GrayS16.class, ImageBorder_S32.class));
    validator.setKernel(0, GradientSobel.kernelDerivX_I32);
    validator.setKernel(1, GradientSobel.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);
}

Example 20 with ImageBorder_S32

use of boofcv.core.image.border.ImageBorder_S32 in project BoofCV by lessthanoptimal.

the class TestGradientThree method compareToConvolve_I8.

@Test
public void compareToConvolve_I8() throws NoSuchMethodException {
    CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
    validator.setTarget(GradientThree.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.class, ImageBorder_S32.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(input, derivX, derivY);
}