use of boofcv.alg.transform.ii.IntegralKernel in project BoofCV by lessthanoptimal.
the class TestImplIntegralImageOps method convolveSparse.
public void convolveSparse(Method m) throws InvocationTargetException, IllegalAccessException {
Class[] paramType = m.getParameterTypes();
Class inputType = paramType[0];
ImageGray integral = GeneralizedImageOps.createSingleBand(inputType, width, height);
GImageMiscOps.fillUniform(integral, rand, 0, 1000);
ImageGray expected = GeneralizedImageOps.createSingleBand(inputType, width, height);
IntegralKernel kernel = new IntegralKernel(2);
kernel.blocks[0] = new ImageRectangle(-2, -2, 1, 1);
kernel.blocks[1] = new ImageRectangle(-2, -1, 1, 0);
kernel.scales = new int[] { 1, 2 };
GIntegralImageOps.convolve(integral, kernel, expected);
GImageGray e = FactoryGImageGray.wrap(expected);
double found0 = ((Number) m.invoke(null, integral, kernel, 0, 0)).doubleValue();
double found1 = ((Number) m.invoke(null, integral, kernel, 10, 12)).doubleValue();
double found2 = ((Number) m.invoke(null, integral, kernel, 19, 29)).doubleValue();
assertEquals(e.get(0, 0).doubleValue(), found0, 1e-4f);
assertEquals(e.get(10, 12).doubleValue(), found1, 1e-4f);
assertEquals(e.get(19, 29).doubleValue(), found2, 1e-4f);
}
use of boofcv.alg.transform.ii.IntegralKernel in project BoofCV by lessthanoptimal.
the class TestImplIntegralImageOps method convolve.
public void convolve(Method m) throws InvocationTargetException, IllegalAccessException {
Kernel2D_S32 kernel = new Kernel2D_S32(3, new int[] { 1, 1, 1, 2, 2, 2, 1, 1, 1 });
GrayU8 input = new GrayU8(width, height);
GrayS32 expected = new GrayS32(width, height);
GImageMiscOps.fillUniform(input, rand, 0, 10);
ImageBorder_S32 border = FactoryImageBorderAlgs.value(input, 0);
ConvolveImage.convolve(kernel, input, expected, border);
Class[] paramType = m.getParameterTypes();
Class inputType = paramType[0];
Class outputType = paramType[2];
ImageGray inputII = GeneralizedImageOps.createSingleBand(inputType, width, height);
ImageGray integral = GeneralizedImageOps.createSingleBand(outputType, width, height);
ImageGray expectedII = GeneralizedImageOps.createSingleBand(outputType, width, height);
ImageGray found = GeneralizedImageOps.createSingleBand(outputType, width, height);
GConvertImage.convert(input, inputII);
GConvertImage.convert(expected, expectedII);
GIntegralImageOps.transform(inputII, integral);
IntegralKernel kernelII = new IntegralKernel(2);
kernelII.blocks[0] = new ImageRectangle(-2, -2, 1, 1);
kernelII.blocks[1] = new ImageRectangle(-2, -1, 1, 0);
kernelII.scales = new int[] { 1, 1 };
m.invoke(null, integral, kernelII, found);
BoofTesting.assertEqualsRelative(expected, found, 1e-4f);
}
use of boofcv.alg.transform.ii.IntegralKernel in project BoofCV by lessthanoptimal.
the class TestImplIntegralImageOps method convolveBorder.
public void convolveBorder(Method m) throws InvocationTargetException, IllegalAccessException {
Kernel2D_S32 kernel = new Kernel2D_S32(3, new int[] { 1, 1, 1, 2, 2, 2, 1, 1, 1 });
GrayU8 input = new GrayU8(width, height);
GrayS32 expected = new GrayS32(width, height);
GImageMiscOps.fillUniform(input, rand, 0, 10);
ImageBorder_S32 border = FactoryImageBorderAlgs.value(input, 0);
ConvolveImage.convolve(kernel, input, expected, border);
Class[] paramType = m.getParameterTypes();
Class inputType = paramType[0];
Class outputType = paramType[2];
ImageGray inputII = GeneralizedImageOps.createSingleBand(inputType, width, height);
ImageGray integral = GeneralizedImageOps.createSingleBand(outputType, width, height);
ImageGray expectedII = GeneralizedImageOps.createSingleBand(outputType, width, height);
ImageGray found = GeneralizedImageOps.createSingleBand(outputType, width, height);
GConvertImage.convert(input, inputII);
GConvertImage.convert(expected, expectedII);
GIntegralImageOps.transform(inputII, integral);
IntegralKernel kernelII = new IntegralKernel(2);
kernelII.blocks[0] = new ImageRectangle(-2, -2, 1, 1);
kernelII.blocks[1] = new ImageRectangle(-2, -1, 1, 0);
kernelII.scales = new int[] { 1, 1 };
m.invoke(null, integral, kernelII, found, 4, 5);
BoofTesting.assertEqualsBorder(expected, found, 1e-4f, 4, 5);
}
use of boofcv.alg.transform.ii.IntegralKernel in project BoofCV by lessthanoptimal.
the class ImplIntegralImageFeatureIntensity method hessianBorder.
/**
* Only computes the fast hessian along the border using a brute force approach
*/
public static void hessianBorder(GrayF32 integral, int skip, int size, GrayF32 intensity) {
final int w = intensity.width;
final int h = intensity.height;
// get convolution kernels for the second order derivatives
IntegralKernel kerXX = DerivativeIntegralImage.kernelDerivXX(size, null);
IntegralKernel kerYY = DerivativeIntegralImage.kernelDerivYY(size, null);
IntegralKernel kerXY = DerivativeIntegralImage.kernelDerivXY(size, null);
int radiusFeature = size / 2;
final int borderOrig = radiusFeature + 1 + (skip - (radiusFeature + 1) % skip);
final int border = borderOrig / skip;
float norm = 1.0f / (size * size);
for (int y = 0; y < h; y++) {
int yy = y * skip;
for (int x = 0; x < border; x++) {
int xx = x * skip;
computeHessian(integral, intensity, kerXX, kerYY, kerXY, norm, y, yy, x, xx);
}
for (int x = w - border; x < w; x++) {
int xx = x * skip;
computeHessian(integral, intensity, kerXX, kerYY, kerXY, norm, y, yy, x, xx);
}
}
for (int x = border; x < w - border; x++) {
int xx = x * skip;
for (int y = 0; y < border; y++) {
int yy = y * skip;
computeHessian(integral, intensity, kerXX, kerYY, kerXY, norm, y, yy, x, xx);
}
for (int y = h - border; y < h; y++) {
int yy = y * skip;
computeHessian(integral, intensity, kerXX, kerYY, kerXY, norm, y, yy, x, xx);
}
}
}
use of boofcv.alg.transform.ii.IntegralKernel in project BoofCV by lessthanoptimal.
the class ImplIntegralImageFeatureIntensity method hessianNaive.
/**
* Brute force approach which is easy to validate through visual inspection.
*/
public static void hessianNaive(GrayS32 integral, int skip, int size, GrayF32 intensity) {
final int w = intensity.width;
final int h = intensity.height;
// get convolution kernels for the second order derivatives
IntegralKernel kerXX = DerivativeIntegralImage.kernelDerivXX(size, null);
IntegralKernel kerYY = DerivativeIntegralImage.kernelDerivYY(size, null);
IntegralKernel kerXY = DerivativeIntegralImage.kernelDerivXY(size, null);
float norm = 1.0f / (size * size);
for (int y = 0; y < h; y++) {
for (int x = 0; x < w; x++) {
int xx = x * skip;
int yy = y * skip;
computeHessian(integral, intensity, kerXX, kerYY, kerXY, norm, y, yy, x, xx);
}
}
}
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