Cartoonize Your Image With Java and OpenCV

Introduction

In this tutorial, we will learn some cool stuff using OpenCV and Java. OpenCV is a very popular framework developed using C++ and got bindings for Python, Java, R languages, etc.

So what we are going to do is to generate a 'cartoon' type image from an original image using Java OpenCV binding

Download and Install

Go to 'https://opencv.org/releases/' and select the proper version. I am using Windows 10 for development. After installing the framework, navigate to the folder and check for its binaries (.DLL). Add these binaries to your path. I have used IntelliJ IDEA  for developing the code. You can choose any Java supported IDE.

Develop the Code

Create a file with a name called 'Cartoon.java' and add the following code to it:

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static {

System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

}

We are loading the OpenCV system libraries by name NATIVE_LIBRARY_NAME using Core API.

Next, we need to load the image which you want to convert into the cartoon image.

Mat img = Imgcodecs.imread("E:\\unni\\rose.jpeg");

//you can change the location 

We are loading an image using ImgCodecs API. This API has a similar method name called 'imread'.

In Python, we use 

img = cv2.imread("rose.jpeg")

But in the Java version, it is returning a 'Matrix' not an image. Mat class is a matrix. Matrix is a 2D array that will store image details in this case.

The Process to Convert to Cartoon

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Mat dest = new Mat();

Imgproc.cvtColor(img, dest, Imgproc.COLOR_BGR2GRAY);

These are the following steps that are required to convert to cartoon:

1. Convert the image into Gray color

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Mat gray = new Mat();

Imgproc.cvtColor(img, gray, Imgproc.COLOR_BGR2GRAY);

2. Apply a Blur filter, in this case, a 'medianBlur'

   This is a smoothing the image by taking the median value at the neighborhood of each pixel.

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Mat blur = new Mat();

Imgproc.medianBlur(gray, blur, 5);

3. Apply an algorithm called 'adaptiveThreshold' is the algorithm used to calculate the threshold value  for smaller regions and therefore, there will be different threshold values for different regions.

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Mat edges = new Mat();

Imgproc.adaptiveThreshold(blur,edges, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C,

        Imgproc.THRESH_BINARY, 9, 9);

4. Apply a 'Bilateral filter' which is used to smoothing the image by preserving its edges.

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Mat colorImg = new Mat();

Imgproc.bilateralFilter(edges, colorImg, 9, 250, 250);

5.  In this step, we combine the images generated in the previous step using  a 'bitwise_and' operation.

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Mat cartoon = new Mat();

Core.bitwise_and(colorImg, edges, cartoon);

Finally, we save the new image into the disk

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Imgcodecs.imwrite("rose_cartoon.jpg", cartoon);

This is the below cartoon image generated after executing the previous step.

This is the original image

We have successfully generated a cartoon image from its original image.