/**
* Creates a random image and looks for corners in it. Sees if the naive and fast algorithm
* produce exactly the same results.
*/
@Test
public void compareToNaive() {
GrayU8 img = new GrayU8(width, height);
ImageMiscOps.fillUniform(img, new Random(0xfeed), 0, 100);
GrayS16 derivX = new GrayS16(img.getWidth(), img.getHeight());
GrayS16 derivY = new GrayS16(img.getWidth(), img.getHeight());
GradientSobel.process(img, derivX, derivY, new ImageBorder1D_S32(BorderIndex1D_Extend.class));
BoofTesting.checkSubImage(this, "compareToNaive", true, derivX, derivY);
}
private static void renderBinary(
GrayU8 binaryImage, boolean invert, ByteInterleavedRaster raster) {
int rasterIndex = 0;
byte data[] = raster.getDataStorage();
int w = binaryImage.getWidth();
int h = binaryImage.getHeight();
int numBands = raster.getNumBands();
if (numBands == 1) {
if (invert) {
for (int y = 0; y < h; y++) {
int indexSrc = binaryImage.startIndex + y * binaryImage.stride;
for (int x = 0; x < w; x++) {
data[rasterIndex++] = (byte) ((1 - binaryImage.data[indexSrc++]) * 255);
}
}
} else {
for (int y = 0; y < h; y++) {
int indexSrc = binaryImage.startIndex + y * binaryImage.stride;
for (int x = 0; x < w; x++) {
data[rasterIndex++] = (byte) (binaryImage.data[indexSrc++] * 255);
}
}
}
} else {
if (invert) {
for (int y = 0; y < h; y++) {
int indexSrc = binaryImage.startIndex + y * binaryImage.stride;
for (int x = 0; x < w; x++) {
byte val = (byte) ((1 - binaryImage.data[indexSrc++]) * 255);
for (int i = 0; i < numBands; i++) {
data[rasterIndex++] = val;
}
}
}
} else {
for (int y = 0; y < h; y++) {
int indexSrc = binaryImage.startIndex + y * binaryImage.stride;
for (int x = 0; x < w; x++) {
byte val = (byte) (binaryImage.data[indexSrc++] * 255);
for (int i = 0; i < numBands; i++) {
data[rasterIndex++] = val;
}
}
}
}
}
}
public static void horizontal(Kernel1D_I32 kernel, GrayU8 input, GrayI8 output) {
final byte[] dataSrc = input.data;
final byte[] dataDst = output.data;
final int[] dataKer = kernel.data;
final int kernelWidth = kernel.getWidth();
final int offsetL = kernel.getOffset();
final int offsetR = kernelWidth - offsetL - 1;
final int width = input.getWidth();
final int height = input.getHeight();
for (int i = 0; i < height; i++) {
int indexDest = output.startIndex + i * output.stride;
int j = input.startIndex + i * input.stride;
final int jStart = j;
int jEnd = j + offsetL;
for (; j < jEnd; j++) {
int total = 0;
int weight = 0;
int indexSrc = jStart;
for (int k = kernelWidth - (offsetR + 1 + j - jStart); k < kernelWidth; k++) {
int w = dataKer[k];
weight += w;
total += (dataSrc[indexSrc++] & 0xFF) * w;
}
dataDst[indexDest++] = (byte) ((total + weight / 2) / weight);
}
j += width - (offsetL + offsetR);
indexDest += width - (offsetL + offsetR);
jEnd = jStart + width;
for (; j < jEnd; j++) {
int total = 0;
int weight = 0;
int indexSrc = j - offsetL;
final int kEnd = jEnd - indexSrc;
for (int k = 0; k < kEnd; k++) {
int w = dataKer[k];
weight += w;
total += (dataSrc[indexSrc++] & 0xFF) * w;
}
dataDst[indexDest++] = (byte) ((total + weight / 2) / weight);
}
}
}
public void process(final BufferedImage image) {
imageInput.reshape(image.getWidth(), image.getHeight());
imageBinary.reshape(image.getWidth(), image.getHeight());
imageOutput.reshape(image.getWidth(), image.getHeight());
ConvertBufferedImage.convertFromSingle(image, imageInput, imageType);
final double threshold = GThresholdImageOps.computeOtsu(imageInput, 0, 255);
SwingUtilities.invokeLater(
new Runnable() {
public void run() {
selectThresh.setThreshold((int) threshold);
setInputImage(image);
selectThresh.getHistogramPanel().update(imageInput);
selectThresh.repaint();
}
});
doRefreshAll();
}
private static void _renderBinary(GrayU8 binaryImage, boolean invert, BufferedImage out) {
int w = binaryImage.getWidth();
int h = binaryImage.getHeight();
if (invert) {
for (int y = 0; y < h; y++) {
int indexSrc = binaryImage.startIndex + y * binaryImage.stride;
for (int x = 0; x < w; x++) {
int rgb = binaryImage.data[indexSrc++] > 0 ? 0 : 0x00FFFFFF;
out.setRGB(x, y, rgb);
}
}
} else {
for (int y = 0; y < h; y++) {
int indexSrc = binaryImage.startIndex + y * binaryImage.stride;
for (int x = 0; x < w; x++) {
int rgb = binaryImage.data[indexSrc++] > 0 ? 0x00FFFFFF : 0;
out.setRGB(x, y, rgb);
}
}
}
}
/**
* Renders a binary image. 0 = black and 1 = white.
*
* @param binaryImage (Input) Input binary image.
* @param invert (Input) if true it will invert the image on output
* @param out (Output) optional storage for output image
* @return Output rendered binary image
*/
public static BufferedImage renderBinary(GrayU8 binaryImage, boolean invert, BufferedImage out) {
if (out == null) {
out =
new BufferedImage(
binaryImage.getWidth(), binaryImage.getHeight(), BufferedImage.TYPE_BYTE_GRAY);
}
try {
if (out.getRaster() instanceof ByteInterleavedRaster) {
renderBinary(binaryImage, invert, (ByteInterleavedRaster) out.getRaster());
} else if (out.getRaster() instanceof IntegerInterleavedRaster) {
renderBinary(binaryImage, invert, (IntegerInterleavedRaster) out.getRaster());
} else {
_renderBinary(binaryImage, invert, out);
}
} catch (SecurityException e) {
_renderBinary(binaryImage, invert, out);
}
// hack so that it knows the buffer has been modified
out.setRGB(0, 0, out.getRGB(0, 0));
return out;
}
private static void renderBinary(
GrayU8 binaryImage, boolean invert, IntegerInterleavedRaster raster) {
int rasterIndex = 0;
int data[] = raster.getDataStorage();
int w = binaryImage.getWidth();
int h = binaryImage.getHeight();
if (invert) {
for (int y = 0; y < h; y++) {
int indexSrc = binaryImage.startIndex + y * binaryImage.stride;
for (int x = 0; x < w; x++) {
data[rasterIndex++] = binaryImage.data[indexSrc++] > 0 ? 0 : 0xFFFFFFFF;
}
}
} else {
for (int y = 0; y < h; y++) {
int indexSrc = binaryImage.startIndex + y * binaryImage.stride;
for (int x = 0; x < w; x++) {
data[rasterIndex++] = binaryImage.data[indexSrc++] > 0 ? 0xFFFFFFFF : 0;
}
}
}
}
public static void convolve(Kernel2D_I32 kernel, GrayU8 input, GrayI8 output) {
final byte[] dataSrc = input.data;
final byte[] dataDst = output.data;
final int[] dataKer = kernel.data;
final int kernelWidth = kernel.getWidth();
final int offsetL = kernel.getOffset();
final int offsetR = kernelWidth - offsetL - 1;
final int width = input.getWidth();
final int height = input.getHeight();
// convolve across the left and right borders
for (int y = 0; y < height; y++) {
int minI = y >= offsetL ? -offsetL : -y;
int maxI = y < height - offsetR ? offsetR : height - y - 1;
int indexDst = output.startIndex + y * output.stride;
for (int x = 0; x < offsetL; x++) {
int total = 0;
int weight = 0;
for (int i = minI; i <= maxI; i++) {
int indexSrc = input.startIndex + (y + i) * input.stride + x;
int indexKer = (i + offsetL) * kernelWidth;
for (int j = -x; j <= offsetR; j++) {
int w = dataKer[indexKer + j + offsetL];
weight += w;
total += (dataSrc[indexSrc + j] & 0xFF) * w;
}
}
dataDst[indexDst++] = (byte) ((total + weight / 2) / weight);
}
indexDst = output.startIndex + y * output.stride + width - offsetR;
for (int x = width - offsetR; x < width; x++) {
int maxJ = width - x - 1;
int total = 0;
int weight = 0;
for (int i = minI; i <= maxI; i++) {
int indexSrc = input.startIndex + (y + i) * input.stride + x;
int indexKer = (i + offsetL) * kernelWidth;
for (int j = -offsetL; j <= maxJ; j++) {
int w = dataKer[indexKer + j + offsetL];
weight += w;
total += (dataSrc[indexSrc + j] & 0xFF) * w;
}
}
dataDst[indexDst++] = (byte) ((total + weight / 2) / weight);
}
}
// convolve across the top border while avoiding convolving the corners again
for (int y = 0; y < offsetL; y++) {
int indexDst = output.startIndex + y * output.stride + offsetL;
for (int x = offsetL; x < width - offsetR; x++) {
int total = 0;
int weight = 0;
for (int i = -y; i <= offsetR; i++) {
int indexSrc = input.startIndex + (y + i) * input.stride + x;
int indexKer = (i + offsetL) * kernelWidth;
for (int j = -offsetL; j <= offsetR; j++) {
int w = dataKer[indexKer + j + offsetL];
weight += w;
total += (dataSrc[indexSrc + j] & 0xFF) * w;
}
}
dataDst[indexDst++] = (byte) ((total + weight / 2) / weight);
}
}
// convolve across the bottom border
for (int y = height - offsetR; y < height; y++) {
int maxI = height - y - 1;
int indexDst = output.startIndex + y * output.stride + offsetL;
for (int x = offsetL; x < width - offsetR; x++) {
int total = 0;
int weight = 0;
for (int i = -offsetL; i <= maxI; i++) {
int indexSrc = input.startIndex + (y + i) * input.stride + x;
int indexKer = (i + offsetL) * kernelWidth;
for (int j = -offsetL; j <= offsetR; j++) {
int w = dataKer[indexKer + j + offsetL];
weight += w;
total += (dataSrc[indexSrc + j] & 0xFF) * w;
}
}
dataDst[indexDst++] = (byte) ((total + weight / 2) / weight);
}
}
}
