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import java.io.File;
import opencv2_cookbook.OpenCVUtils;
import org.bytedeco.javacpp.opencv_core;
import static org.bytedeco.javacpp.opencv_core.*;
import org.bytedeco.javacpp.opencv_core.Mat;
import static org.bytedeco.javacpp.opencv_core.CvType;
import org.bytedeco.javacpp.opencv_core.MatVector;
import org.bytedeco.javacpp.opencv_core.Rect;
import static org.bytedeco.javacpp.opencv_highgui.CV_LOAD_IMAGE_COLOR;
import org.bytedeco.javacpp.opencv_imgproc;
import static org.bytedeco.javacpp.opencv_imgproc.*;
public class GrabCut
{
    public static void main(String[] arg)
    {
        Mat  image = OpenCVUtils.loadMatAndShowOrExit(new File("F:\\images\\set2.jpg"), CV_LOAD_IMAGE_COLOR);
        
        Rect rectangle = new Rect(0, 0 , 224 , 224);
        
        Mat result = new Mat();
        int iterCount = 5;
        int mode = GC_INIT_WITH_RECT;
        
        Mat bgdModel = new Mat();
        Mat fgdModel = new Mat();
       
        grabCut(image, result, rectangle, bgdModel, fgdModel, iterCount, mode);
    
        threshold(result, result, GC_PR_FGD - 0.5 , GC_PR_FGD + 0.5, THRESH_BINARY);
        
        //OpenCVUtils.show(OpenCVUtils.toIplImage8U(result.asIplImage() , true), "Result foreground mask");
        
        //------------------------------------------------------------------------------------------------
        
        Mat src = new Mat(result);
        //Mat tmp = new Mat();
        Mat alpha = new Mat();
        Mat dst = new Mat();
        
        //cvtColor(image, tmp, CV_BGR2GRAY);
        //threshold(tmp, alpha, 255, 255, THRESH_BINARY);
        threshold(src, alpha, 150, 255, THRESH_BINARY);
        
        MatVector mavVector = new MatVector(3);
        split(image , mavVector);
        
        MatVector rgba = new MatVector(4);
        rgba.put(0,mavVector.get(0));
        rgba.put(1,mavVector.get(1));
        rgba.put(2,mavVector.get(2));
        rgba.put(3,alpha);
        
        merge(rgba, dst);
        
        OpenCVUtils.show(dst , "123");
        //OpenCVUtils.show(OpenCVUtils.toIplImage8U(dst.asIplImage() , true), "Result foreground mask");
        
    }
}

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