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package dip;

import org.opencv.core.Core;

import org.opencv.core.CvType;

import org.opencv.core.Mat;

import org.opencv.imgcodecs.Imgcodecs;

import org.opencv.imgproc.Imgproc;

import org.scijava.nativelib.NativeLoader;

import java.io.IOException;

public class ApplyingBoxFilter {

static Mat createKernelOfSize(int kernelSize) {

Mat kernel = Mat.ones(kernelSize, kernelSize, CvType.CV_32F);

for (int i = 0; i < kernel.rows(); i++) {

for (int j = 0; j < kernel.cols(); j++) {

double[] m = kernel.get(i, j);

for (int k = 0; k < m.length; k++) {

m[k] = m[k] / (kernelSize * kernelSize);

}

kernel.put(i, j, m);

}

}

return kernel;

}

public static void main(String[] args) throws IOException {

NativeLoader.loadLibrary(Core.NATIVE_LIBRARY_NAME);

Mat source = Imgcodecs.imread("data/dip/grayscale.jpg", Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);

Mat destination = new Mat(source.rows(), source.cols(), source.type());

Mat kernel5 = createKernelOfSize(5);

Imgproc.filter2D(source, destination, -1, kernel5);

Imgcodecs.imwrite("boxfilterKernel5.jpg", destination);

Mat kernel9 = createKernelOfSize(9);

Imgproc.filter2D(source, destination, -1, kernel9);

Imgcodecs.imwrite("boxfilterKernel9.jpg", destination);

}

}