creating HSV histogram using RGB image

Is there a way in Java or OpenCv开发者_开发百科 ; preferably Java, that i can have an HSV histogram give RGB image.

I tried exploring JAI but it creates histogram for RGB image. Thanks Harshit

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firs use cv::cvtColor to convert RGB to HSV then use cv::calcHist to compute the histogram

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Here is the pseudocode for a simple RGB to HSV converter. It will give a H of UNDEFINED if the color is a shade of gray, otherwise H is between 0 and 6.

x = min(R, G, B);
V = max(R, G, B);
if (V == x) {
  H = UNDEFINED
  S = 0
}
else {
  if( R == x ) {
    f = G - B;
    i = 3;
  } else if( G == x ) {
    f = B - R;
    i = 5;
  } else {
    f = R - G;
    i = 1;
  }
  H = i - f /(V - x);
  S = (V - x)/V;
}

Now you can either convert all your pixels and bin them to construct your HSV histogram, or you can convert each bin of your RGB histogram to an HSV bin.

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You can use the "JavaCV" library to access OpenCV functions directly from Java:

http://code.google.com/p/javacv/

Then you can use my code for RGB to HSV that is better than OpenCV's cvConvert function: http://www.shervinemami.co.cc/colorConversion.html

Cheers,

Shervin Emami.

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Here is a code to do this:

      // Assume SourceImage is a Bitmap ARGB_8888
      BitmapFactory.Options options = new BitmapFactory.Options();
      options.inPreferredConfig = Bitmap.Config.ARGB_8888;
      Bitmap refImage = BitmapFactory.decodeFile(mBaseDir + "some_reference.jpg", options);

      Mat hsvRef = new Mat();
      Mat hsvSource = new Mat();

      Mat srcRef = new Mat(refImage.getHeight(), refImage.getWidth(), CvType.CV_8U, new Scalar(4));
      Utils.bitmapToMat(refImage, srcRef);


      Mat srcSource = new Mat(SourceImage.getHeight(), SourceImage.getWidth(), CvType.CV_8U, new Scalar(4));
      Utils.bitmapToMat(SourceImage, srcSource);

      /// Convert to HSV
      Imgproc.cvtColor(srcRef, hsvRef, Imgproc.COLOR_BGR2HSV);
      Imgproc.cvtColor(srcSource, hsvSource, Imgproc.COLOR_BGR2HSV);

      /// Using 50 bins for hue and 60 for saturation
      int hBins = 50;
      int sBins = 60;
      MatOfInt histSize = new MatOfInt( hBins,  sBins);

      // hue varies from 0 to 179, saturation from 0 to 255
      MatOfFloat ranges =  new MatOfFloat( 0f,180f,0f,256f );

      // we compute the histogram from the 0-th and 1-st channels
      MatOfInt channels = new MatOfInt(0, 1);



      Mat histRef = new Mat();
      Mat histSource = new Mat();

      ArrayList<Mat> histImages=new ArrayList<Mat>();
      histImages.add(hsvRef);
      Imgproc.calcHist(histImages,
              channels,
              new Mat(),
              histRef,
              histSize,
              ranges,
              false);
      Core.normalize(histRef,
              histRef,
              0,
              1,
              Core.NORM_MINMAX,
              -1,
              new Mat());

      histImages=new ArrayList<Mat>();
      histImages.add(hsvSource);
      Imgproc.calcHist(histImages,
              channels,
              new Mat(),
              histSource,
              histSize,
              ranges,
              false);
      Core.normalize(histSource,
              histSource,
              0,
              1,
              Core.NORM_MINMAX,
              -1,
              new Mat());

      double resp1 = Imgproc.compareHist(histRef, histSource, 0);
      double resp2 = Imgproc.compareHist(histRef, histSource, 1);
      double resp3 = Imgproc.compareHist(histRef, histSource, 2);
      double resp4 = Imgproc.compareHist(histRef, histSource, 3);

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First, you have to convert image to HSV using cv::cvtColor to convert RGB image into HSV image and then, you can use cv::calcHist to compute the HSV histogram.