Naaturel/MASI4-signal-processing
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Clean some stuff

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This commit is contained in:
Laurent
2026-10-04 13:03:49 +02:00
parent 114da44ff4
commit 6373978aac
8 changed files with 249 additions and 363 deletions
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93
src/main/java/domain/image/processing/outline/LinearOutline.java
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@@ -7,121 +7,60 @@ import org.opencv.core.Mat;
import org.opencv.imgproc.Imgproc;
public class LinearOutline {
/**
*
* @param image
* @param direction applied horizontally if 1, applied vertically if 2
* @return
*/
public static GrayScaleMatrix prewittGradient(Image image, int direction) {
Mat kernel = new Mat(3, 3, CvType.CV_64F);
if (direction == 1) {
kernel.put(0, 0,
-1, -1, -1,
0, 0, 0,
1, 1, 1
);
kernel.put(0, 0, -1, -1, -1, 0, 0, 0, 1, 1, 1);
} else if (direction == 2) {
kernel.put(0, 0,
-1, 0, 1,
-1, 0, 1,
-1, 0, 1
);
kernel.put(0, 0, -1, 0, 1, -1, 0, 1, -1, 0, 1);
} else {
kernel.release();
throw new IllegalArgumentException("Direction must be 1 or 2");
}
return applyKernel(image, kernel);
}
/**
*
* @param image
* @param direction applied horizontally if 1, applied vertically if 2
* @return
*/
public static GrayScaleMatrix sobelGradient(Image image, int direction) {
Mat kernel = new Mat(3, 3, CvType.CV_64F);
if (direction == 1) {
kernel.put(0, 0,
-1, -2, -1,
0, 0, 0,
1, 2, 1
);
kernel.put(0, 0, -1, -2, -1, 0, 0, 0, 1, 2, 1);
} else if (direction == 2) {
kernel.put(0, 0,
-1, 0, 1,
-2, 0, 2,
-1, 0, 1
);
kernel.put(0, 0, -1, 0, 1, -2, 0, 2, -1, 0, 1);
} else {
kernel.release();
throw new IllegalArgumentException("Direction must be 1 or 2");
}
return applyKernel(image, kernel);
}
public static GrayScaleMatrix laplacian4(Image image) {
Mat kernel = new Mat(3, 3, CvType.CV_64F);
kernel.put(0, 0,
0, -1, 0,
-1, 4, -1,
0, -1, 0
);
kernel.put(0, 0, 0, -1, 0, -1, 4, -1, 0, -1, 0);
return applyKernel(image, kernel);
}
public static GrayScaleMatrix laplacian8(Image image) {
Mat kernel = new Mat(3, 3, CvType.CV_64F);
kernel.put(0, 0,
-1, -1, -1,
-1, 8, -1,
-1, -1, -1
);
kernel.put(0, 0, -1, -1, -1, -1, 8, -1, -1, -1, -1);
return applyKernel(image, kernel);
}
private static GrayScaleMatrix applyKernel(Image image, Mat kernel) {
GrayScaleMatrix gray = image.toGrayScale();
Mat input = new Mat(
gray.getHeight(),
gray.getWidth(),
CvType.CV_64F
);
Mat input = new Mat(gray.getHeight(), gray.getWidth(), CvType.CV_64F);
double[][] data = gray.getRawData();
for (int y = 0; y < gray.getHeight(); y++) {
input.put(y, 0, data[y]);
}
Mat result = new Mat();
Imgproc.filter2D(
input,
result,
CvType.CV_64F,
kernel
);
double[][] output = new double[
result.rows()
][result.cols()];
Imgproc.filter2D(input, result, CvType.CV_64F, kernel);
double[][] output = new double[result.rows()][result.cols()];
for (int y = 0; y < result.rows(); y++) {
for (int x = 0; x < result.cols(); x++) {
output[y][x] = result.get(y, x)[0];
}
result.get(y, 0, output[y]);
}
input.release();
result.release();
kernel.release();
return new GrayScaleMatrix(output);
}
}
}