I'm trying to call some Java methods from MATLAB and have been successful with those that return things like Strings, Files etc. But now I have a method that returns a BufferedImage, which MATLAB doesn't have a problem with YET. But how does one visualize this BufferedImage in MATLAB ? Or at least convert it into a matrix?
I called the following method (which is in my Java class) from MATLAB :
MATLAB code:
bufferedImage = pictureObject.getBufferedImage
MATLAB shows this...
pictureObject =
BufferedImage@9d7ae3: type = 13 IndexColorModel: #pixelBits = 8 numComponents = 3 color space = java.awt.color.ICC_ColorSpace@eee0e3 transparency = 1 transIndex = -1 has alpha = false isAlphaPre = false ByteInterleavedRaster: width = 640 height = 480 #numDataElements 1 dataOff[0] = 0
And I'm trying to convert the above thing into something visualizable in MATLAB .
For a Java BufferedImage called jbi, you can use getData and getPixels to get a MATLAB array.
Create a test BufferedImage with im2java2d (too bad there is no java2d2im):
>> I = imread('cameraman.tif');
>> jbi = im2java2d(I)
jbi =
BufferedImage@7ed666f9: type = 0 IndexColorModel: #pixelBits = 8 numCompon<snip>
Convert back:
nrows = jbi.getHeight; ncols = jbi.getWidth;
matImg = jbi.getData.getPixels(0,0,ncols,nrows,[]);
matImg = uint8(reshape(matImg,nrows,ncols)');
The above works for the grayscale "cameraman.tif" image (pixelBits = 8).
For the color "peppers.png" image (pixelBits = 24):
data = jbi.getData.getPixels(0,0,ncols,nrows,[]);
matImg = permute(reshape(data,3,ncols,nrows),[3 2 1]);
Or
data = reshape(typecast(jbi.getData.getDataStorage, 'uint8'), [], ncols, nrows);
matImg = permute(data,[3 2 1]);
See this MathWorks answer for more tricks.
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