/** See how well it processes an image which is not an GrayS32 */
@Test
public void checkOtherType() {
GrayS32 orig = new GrayS32(width, height);
GImageMiscOps.fillUniform(orig, rand, 0, 20);
GrayU8 orig8 = ConvertImage.convert(orig, (GrayU8) null);
int N = 3;
ImageDimension dimen = UtilWavelet.transformDimension(orig, N);
GrayS32 found = new GrayS32(dimen.width, dimen.height);
GrayS32 expected = new GrayS32(dimen.width, dimen.height);
WaveletDescription<WlCoef_I32> desc =
FactoryWaveletDaub.biorthogonal_I32(5, BorderType.REFLECT);
GrayS32 storage = new GrayS32(dimen.width, dimen.height);
WaveletTransformOps.transformN(desc, orig.clone(), expected, storage, N);
WaveletTransformInt<GrayU8> alg = new WaveletTransformInt<>(desc, N, 0, 255, GrayU8.class);
alg.transform(orig8, found);
// see if the two techniques produced the same results
BoofTesting.assertEquals(expected, found, 0);
// see if it can convert it back
GrayU8 reconstructed = new GrayU8(width, height);
alg.invert(found, reconstructed);
BoofTesting.assertEquals(orig8, reconstructed, 0);
// make sure the input has not been modified
BoofTesting.assertEquals(expected, found, 0);
}
@Test
public void compareToWaveletTransformOps() {
GrayS32 orig = new GrayS32(width, height);
GImageMiscOps.fillUniform(orig, rand, 0, 20);
GrayS32 origCopy = orig.clone();
int N = 3;
ImageDimension dimen = UtilWavelet.transformDimension(orig, N);
GrayS32 found = new GrayS32(dimen.width, dimen.height);
GrayS32 expected = new GrayS32(dimen.width, dimen.height);
WaveletDescription<WlCoef_I32> desc =
FactoryWaveletDaub.biorthogonal_I32(5, BorderType.REFLECT);
GrayS32 storage = new GrayS32(dimen.width, dimen.height);
WaveletTransformOps.transformN(desc, orig.clone(), expected, storage, N);
WaveletTransformInt<GrayS32> alg = new WaveletTransformInt<>(desc, N, 0, 255, GrayS32.class);
alg.transform(orig, found);
// make sure the original input was not modified like it is in WaveletTransformOps
BoofTesting.assertEquals(origCopy, orig, 0);
// see if the two techniques produced the same results
BoofTesting.assertEquals(expected, found, 0);
// test inverse transform
GrayS32 reconstructed = new GrayS32(width, height);
alg.invert(found, reconstructed);
BoofTesting.assertEquals(orig, reconstructed, 0);
// make sure the input has not been modified
BoofTesting.assertEquals(expected, found, 0);
}
/** The XY and YX second derivatives should be indential */
private void testSecondDerivative(Method m1, Method m2) {
Class params[] = m1.getParameterTypes();
ImageGray input = GeneralizedImageOps.createSingleBand(params[0], width, height);
ImageGray derivX = GeneralizedImageOps.createSingleBand(params[1], width, height);
ImageGray derivY = GeneralizedImageOps.createSingleBand(params[2], width, height);
ImageGray derivXX = GeneralizedImageOps.createSingleBand(params[1], width, height);
ImageGray derivYY = GeneralizedImageOps.createSingleBand(params[2], width, height);
ImageGray derivXY = GeneralizedImageOps.createSingleBand(params[1], width, height);
ImageGray derivYX = GeneralizedImageOps.createSingleBand(params[1], width, height);
GImageMiscOps.fillUniform(input, rand, 0, 40);
Object border;
if (params[3] == ImageBorder_F32.class) {
border = new ImageBorder1D_F32(BorderIndex1D_Wrap.class);
} else {
border = new ImageBorder1D_S32(BorderIndex1D_Wrap.class);
}
try {
m1.invoke(null, input, derivX, derivY, border);
m2.invoke(null, derivX, derivXX, derivXY, border);
m2.invoke(null, derivY, derivYX, derivYY, border);
} catch (IllegalAccessException | InvocationTargetException e) {
throw new RuntimeException(e);
}
// BoofTesting.printDiff(derivXY,derivYX);
BoofTesting.assertEquals(derivXY, derivYX, 1e-3f);
}
public static void assertEquals(ImageBase imgA, ImageBase imgB, double tol) {
// if no specialized check exists, use a slower generalized approach
if (imgA instanceof ImageSingleBand) {
GImageSingleBand a = FactoryGImageSingleBand.wrap((ImageSingleBand) imgA);
GImageSingleBand b = FactoryGImageSingleBand.wrap((ImageSingleBand) imgB);
for (int y = 0; y < imgA.height; y++) {
for (int x = 0; x < imgA.width; x++) {
double valA = a.get(x, y).doubleValue();
double valB = b.get(x, y).doubleValue();
double difference = valA - valB;
if (Math.abs(difference) > tol)
throw new RuntimeException(
"Values not equal at (" + x + "," + y + ") " + valA + " " + valB);
}
}
} else if (imgA instanceof MultiSpectral) {
MultiSpectral a = (MultiSpectral) imgA;
MultiSpectral b = (MultiSpectral) imgB;
if (a.getNumBands() != b.getNumBands())
throw new RuntimeException("Number of bands not equal");
for (int band = 0; band < a.getNumBands(); band++) {
assertEquals(a.getBand(band), b.getBand(band), tol);
}
} else if (imgA instanceof ImageInterleaved) {
ImageInterleaved a = (ImageInterleaved) imgA;
ImageInterleaved b = (ImageInterleaved) imgB;
if (a.getNumBands() != b.getNumBands())
throw new RuntimeException("Number of bands not equal");
int numBands = a.getNumBands();
for (int y = 0; y < imgA.height; y++) {
for (int x = 0; x < imgA.width; x++) {
for (int band = 0; band < numBands; band++) {
double valA = GeneralizedImageOps.get(a, x, y, band);
double valB = GeneralizedImageOps.get(b, x, y, band);
double difference = valA - valB;
if (Math.abs(difference) > tol)
throw new RuntimeException(
"Values not equal at (" + x + "," + y + ") " + valA + " " + valB);
}
}
}
} else {
throw new RuntimeException("Unknown image type");
}
}
// TODO make sure pixels outside are not modified of sub-matrix
// todo have the submatrices be from different shaped inputs
@SuppressWarnings({"unchecked"})
public static void checkSubImage(
Object testClass, String function, boolean checkEquals, Object... inputParam) {
try {
ImageBase[] larger = new ImageBase[inputParam.length];
ImageBase[] subImg = new ImageBase[inputParam.length];
Class<?> paramDesc[] = new Class<?>[inputParam.length];
Object[] inputModified = new Object[inputParam.length];
for (int i = 0; i < inputParam.length; i++) {
if (ImageBase.class.isAssignableFrom(inputParam[i].getClass())) {
ImageBase<?> img = (ImageBase<?>) inputParam[i];
// copy the original image inside of a larger image
larger[i] = img._createNew(img.getWidth() + 10, img.getHeight() + 12);
// extract a sub-image and make it equivalent to the original image.
subImg[i] = larger[i].subimage(5, 6, 5 + img.getWidth(), 6 + img.getHeight(), null);
subImg[i].setTo(img);
}
// the first time it is called use the original inputs
inputModified[i] = inputParam[i];
paramDesc[i] = inputParam[i].getClass();
}
// first try it with the original image
Method m = findMethod(testClass.getClass(), function, paramDesc);
m.invoke(testClass, inputModified);
// now try it with the sub-image
for (int i = 0; i < inputModified.length; i++) {
if (subImg[i] != null) inputModified[i] = subImg[i];
}
m.invoke(testClass, inputModified);
// the result should be the identical
if (checkEquals) {
for (int i = 0; i < inputParam.length; i++) {
if (subImg[i] == null) continue;
assertEquals((ImageBase) inputModified[i], subImg[i], 0);
}
}
} catch (InvocationTargetException e) {
throw new RuntimeException(e);
} catch (IllegalAccessException e) {
throw new RuntimeException(e);
}
}
private void compareToNaive(
Image left, Image right, int minDisparity, int maxDisparity, int radiusX, int radiusY) {
int w = left.width;
int h = left.height;
DisparityScoreSadRect<Image, Disparity> alg =
createAlg(minDisparity, maxDisparity, radiusX, radiusY, compDisp);
StereoDisparityWtoNaive<Image> naive =
new StereoDisparityWtoNaive<Image>(minDisparity, maxDisparity, radiusX, radiusY);
Disparity found = GeneralizedImageOps.createSingleBand(disparityType, w, h);
ImageFloat32 expected = new ImageFloat32(w, h);
alg.process(left, right, found);
naive.process(left, right, expected);
BoofTesting.assertEquals(found, expected, 1);
}
