use of boofcv.core.image.border.ImageBorder_S32 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);
}
use of boofcv.core.image.border.ImageBorder_S32 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);
}
use of boofcv.core.image.border.ImageBorder_S32 in project BoofCV by lessthanoptimal.
the class TestHessianSobel method compareToConvolve_I8.
@Test
public void compareToConvolve_I8() throws NoSuchMethodException {
CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
validator.setTarget(HessianSobel.class.getMethod("process", GrayU8.class, GrayS16.class, GrayS16.class, GrayS16.class, ImageBorder_S32.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(input, derivXX, derivYY, derivXY);
}
use of boofcv.core.image.border.ImageBorder_S32 in project BoofCV by lessthanoptimal.
the class ImplBinaryBorderOps method dilate4.
public static void dilate4(GrayU8 input, GrayU8 output) {
ImageBorder_S32 in = ImageBorderValue.wrap(input, 0);
final int h = input.height - 1;
final int w = input.width - 1;
for (int x = 0; x < input.width; x++) {
// check top edge
if ((in.get(x, 0) + in.get(x - 1, 0) + in.get(x + 1, 0) + in.get(x, 1)) > 0)
output.set(x, 0, 1);
else
output.set(x, 0, 0);
// check bottom edge
if ((in.get(x, h) + in.get(x - 1, h) + in.get(x + 1, h) + in.get(x, h - 1)) > 0)
output.set(x, h, 1);
else
output.set(x, h, 0);
}
for (int y = 0; y < input.height; y++) {
// check left edge
if ((in.get(0, y) + in.get(1, y) + in.get(0, y - 1) + in.get(0, y + 1)) > 0)
output.set(0, y, 1);
else
output.set(0, y, 0);
// check right edge
if ((in.get(w, y) + in.get(w - 1, y) + in.get(w, y - 1) + in.get(w, y + 1)) > 0)
output.set(w, y, 1);
else
output.set(w, y, 0);
}
}
use of boofcv.core.image.border.ImageBorder_S32 in project BoofCV by lessthanoptimal.
the class ImplBinaryBorderOps method dilate8.
public static void dilate8(GrayU8 input, GrayU8 output) {
ImageBorder_S32 in = ImageBorderValue.wrap(input, 0);
final int h = input.height - 1;
final int w = input.width - 1;
for (int x = 0; x < input.width; x++) {
// check top edge
if ((in.get(x, 0) + in.get(x - 1, 0) + in.get(x + 1, 0) + in.get(x - 1, 1) + in.get(x, 1) + in.get(x + 1, 1)) > 0)
output.set(x, 0, 1);
else
output.set(x, 0, 0);
// check bottom edge
if ((in.get(x, h) + in.get(x - 1, h) + in.get(x + 1, h) + in.get(x - 1, h - 1) + in.get(x, h - 1) + in.get(x + 1, h - 1)) > 0)
output.set(x, h, 1);
else
output.set(x, h, 0);
}
for (int y = 0; y < input.height; y++) {
// check left edge
if ((in.get(0, y) + in.get(1, y) + in.get(0, y - 1) + in.get(1, y - 1) + in.get(0, y + 1) + in.get(1, y + 1)) > 0)
output.set(0, y, 1);
else
output.set(0, y, 0);
// check right edge
if ((in.get(w - 1, y) + in.get(w, y) + in.get(w - 1, y - 1) + in.get(w, y - 1) + in.get(w - 1, y + 1) + in.get(w, y + 1)) > 0)
output.set(w, y, 1);
else
output.set(w, y, 0);
}
}
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