Convert OpenCV Mat object to BufferedImage

Question

I am trying to create a helper function using OpenCV Java API that would process an input image and return the output byte array. The input image is a jpg file saved in the computer. The input and output image are displayed in the Java UI using Swing.

System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Load image from file
Mat rgba = Highgui.imread(filePath);

Imgproc.cvtColor(rgba, rgba, Imgproc.COLOR_RGB2GRAY, 0);

// Convert back to byte[] and return
byte[] return_buff = new byte[(int) (rgba.total() * rgba.channels())];
rgba.get(0, 0, return_buff);
return return_buff;

When the return_buff is returned and converted to BufferedImage I get NULL back. When I comment out the Imgproc.cvtColor function, the return_buff is properly converted to a BufferedImage that I can display. It seems like the Imgproc.cvtColor is returning a Mat object that I couldn't display in Java.

Here's my code to convert from byte[] to BufferedImage:

InputStream in = new ByteArrayInputStream(inputByteArray);
BufferedImage outputImage = ImageIO.read(in);

In above code, outputImage is NULL

Does anybody have any suggestions or ideas?

Harald K · Accepted Answer · 2019-06-12T09:28:28.533

ImageIO.read(...) (and the javax.imageio package in general) is for reading/writing images from/to file formats. What you have is an array containing "raw" pixels. It's impossible for ImageIO to determine file format from this byte array. Because of this, it will return null.

Instead, you should create a BufferedImage from the bytes directly. I don't know OpenCV that well, but I'm assuming that the result of Imgproc.cvtColor(rgba, rgba, Imgproc.COLOR_RGB2GRAY, 0) will be an image in grayscale (8 bits/sample, 1 sample/pixel). This is the same format as BufferedImage.TYPE_BYTE_GRAY. If this assumption is correct, you should be able to do:

// Read image to Mat as before
Mat rgba = ...;
Imgproc.cvtColor(rgba, rgba, Imgproc.COLOR_RGB2GRAY, 0);

// Create an empty image in matching format
BufferedImage gray = new BufferedImage(rgba.width(), rgba.height(), BufferedImage.TYPE_BYTE_GRAY);

// Get the BufferedImage's backing array and copy the pixels directly into it
byte[] data = ((DataBufferByte) gray.getRaster().getDataBuffer()).getData();
rgba.get(0, 0, data);

Doing it this way, saves you one large byte array allocation and one byte array copy as a bonus. :-)

This answer is outdated. Since version 3.0, there is no more Highgui module on openCV. Source: https://stackoverflow.com/questions/25059576/highgui-is-missing-from-opencv-3-0-0-jar — Prometheus, Jun 12 '19 at 09:20
@Prometheus Updated answer. The question is about conversion from `Mat` to `BufferedImage` though, not about how to read images using OpenCV, so I simply removed the reference to `HighGUI`. — Harald K, Jun 12 '19 at 09:32

score 9 · Answer 2 · answered Aug 30 '17 at 12:48

I used this kind of code to convert Mat object to Buffered Image.

static BufferedImage Mat2BufferedImage(Mat matrix)throws Exception {        
    MatOfByte mob=new MatOfByte();
    Imgcodecs.imencode(".jpg", matrix, mob);
    byte ba[]=mob.toArray();

    BufferedImage bi=ImageIO.read(new ByteArrayInputStream(ba));
    return bi;
}

Convert OpenCV Mat object to BufferedImage

2 Answers2

Linked