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

Example 41 with GrayS16

use of boofcv.struct.image.GrayS16 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 42 with GrayS16

use of boofcv.struct.image.GrayS16 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 43 with GrayS16

use of boofcv.struct.image.GrayS16 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);
}

Example 44 with GrayS16

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

the class TestHessianFromGradient method hessianPrewitt_I8.

@Test
public void hessianPrewitt_I8() throws NoSuchMethodException {
    CompareHessianToConvolution validator = new CompareHessianToConvolution();
    validator.setTarget(HessianFromGradient.class.getMethod("hessianPrewitt", GrayS16.class, GrayS16.class, GrayS16.class, GrayS16.class, GrayS16.class, ImageBorder_S32.class));
    validator.setKernel(0, GradientPrewitt.kernelDerivX_I32);
    validator.setKernel(1, GradientPrewitt.kernelDerivY_I32);
    GrayS16 derivX = new GrayS16(width, height);
    GrayS16 derivY = new GrayS16(width, height);
    ImageMiscOps.fillUniform(derivX, rand, -10, 10);
    ImageMiscOps.fillUniform(derivY, rand, -10, 10);
    GrayS16 derivXX = new GrayS16(width, height);
    GrayS16 derivYY = new GrayS16(width, height);
    GrayS16 derivXY = new GrayS16(width, height);
    validator.compare(derivX, derivY, derivXX, derivYY, derivXY);
}

Example 45 with GrayS16

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

the class TestHessianFromGradient method hessianThree_I8.

@Test
public void hessianThree_I8() throws NoSuchMethodException {
    CompareHessianToConvolution validator = new CompareHessianToConvolution();
    validator.setTarget(HessianFromGradient.class.getMethod("hessianThree", GrayS16.class, GrayS16.class, GrayS16.class, GrayS16.class, GrayS16.class, ImageBorder_S32.class));
    validator.setKernel(0, GradientThree.kernelDeriv_I32, true);
    validator.setKernel(1, GradientThree.kernelDeriv_I32, false);
    GrayS16 derivX = new GrayS16(width, height);
    GrayS16 derivY = new GrayS16(width, height);
    ImageMiscOps.fillUniform(derivX, rand, -10, 10);
    ImageMiscOps.fillUniform(derivY, rand, -10, 10);
    GrayS16 derivXX = new GrayS16(width, height);
    GrayS16 derivYY = new GrayS16(width, height);
    GrayS16 derivXY = new GrayS16(width, height);
    validator.compare(derivX, derivY, derivXX, derivYY, derivXY);
}