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TagsJava Programming Language Pixel String (Computer Science) Integer (Computer Science) Rgb Color Model
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Total Pages149
Document Text Contents
Page 2

Java Digital Image Processing


About the Tutorial

This tutorial gives a simple and practical approach of implementing algorithms

used in digital image processing. After completing this tutorial, you will find

yourself at a moderate level of expertise, from where you can take yourself to

next levels.


This reference has been prepared for the beginners to help them understand and

implement the basic to advance algorithms of digital image processing in java.


Before proceeding with this tutorial, you need to have a basic knowledge of digital

image processing and Java programming language.

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Java Digital Image Processing


4 filter2D(Mat src, Mat dst, int ddepth, Mat kernel, Point anchor, double


It convolves an image with the kernel.

5 GaussianBlur(Mat src, Mat dst, Size ksize, double sigmaX)

It blurs an image using a Gaussian filter.

6 integral(Mat src, Mat sum)

It calculates the integral of an image.


The following example demonstrates the use of Imgproc class to perform erosion and

dilation on an image:

import org.opencv.core.Core;

import org.opencv.core.CvType;

import org.opencv.core.Mat;

import org.opencv.highgui.Highgui;

import org.opencv.imgproc.Imgproc;

public class main {

public static void main( String[] args )



System.loadLibrary( Core.NATIVE_LIBRARY_NAME );

Mat source = Highgui.imread("digital_image_processing.jpg",


Mat destination =new


destination = source;

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Java Digital Image Processing


public class Main {

public static void main( String[] args )


try {

System.loadLibrary( Core.NATIVE_LIBRARY_NAME );

File input = new File("digital_image_processing.jpg");

BufferedImage image =;

byte[] data = ((DataBufferByte) image.getRaster().


Mat mat = new Mat(image.getHeight(),image.getWidth(),CvType.CV_8UC3);

mat.put(0, 0, data);

Mat mat1 = new Mat(image.getHeight(),image.getWidth(),CvType.CV_8UC3);

Imgproc.cvtColor(mat, mat1, Imgproc.COLOR_RGB2HSV);

byte[] data1 = new


mat1.get(0, 0, data1);

BufferedImage image1 = new BufferedImage(mat1.cols(), mat1.rows(), 5);


File ouptut = new File("hsv.jpg");

ImageIO.write(image1, "jpg", ouptut);

} catch (Exception e) {

System.out.println("Error: " + e.getMessage());




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Java Digital Image Processing



When you execute the given example, it converts an image name

digital_image_processing.jpg to its equivalent HSV color space image and writes it

on hard disk with name hsv.jpg.

Original Image (RGB)

Converted Image (HSV)

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