Median Filtering of the Image using OpenCV

There are various algorithms that allows to reduce noise in an image. One of them is median filter. This filter calculates the median of all the pixels in the kernel area. Then value of the central pixel is replaced by calculated median. Median filter is widely used to remove “salt and pepper” type noise.

OpenCV offers medianBlur function to apply median filter to an image. This function accepts kernel size. It should be odd integer greater than 1 (e.g. 3, 5, 7, …).

import cv2

img = cv2.imread('test.jpg')
grayImg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
filteredImg = cv2.medianBlur(grayImg, ksize=5)

cv2.imshow('Original image', grayImg)
cv2.imshow('Filtered image', filteredImg)
#include <opencv2/opencv.hpp>

using namespace cv;

int main()
    Mat img = imread("test.jpg");
    Mat grayImg;
    cvtColor(img, grayImg, COLOR_BGR2GRAY);
    Mat filteredImg;
    medianBlur(grayImg, filteredImg, 5);

    imshow("Original image", grayImg);
    imshow("Filtered image", filteredImg);

    return 0;
package app;

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;

public class Main
    static { System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }

    public static void main(String[] args)
        Mat img = Imgcodecs.imread("test.jpg");
        Mat grayImg = new Mat();
        Imgproc.cvtColor(img, grayImg, Imgproc.COLOR_BGR2GRAY);
        Mat filteredImg = new Mat();
        Imgproc.medianBlur(grayImg, filteredImg, 5);

        HighGui.imshow("Original image", grayImg);
        HighGui.imshow("Filtered image", filteredImg);

Image filtering using median filter and OpenCV

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