OpenCV掩码错误结果撕裂

Question

我试图将二进制图像掩盖到原始图像上，大部分时间它都有效，但我偶尔会得到这个：

关于为什么会发生这种情况以及如何解决问题的任何想法？在此先感谢：）

编辑：好的，所以我有两张图片，我发现它们之间的区别，最终成为了手。

良好结果的例子

然后我将差异图像转换为灰度，将图像生成图像（使用cvThreshold），最后将结果用作input2上的蒙版（原始图像带手）。最后的操作cvCopy似乎是导致这种撕裂的一种，请注意，它有时只会发生（粗略的1/5）。

这是我的Main.java的样子：

    import com.googlecode.javacv.CanvasFrame;
    import com.googlecode.javacv.cpp.opencv_core.IplImage;
    import com.googlecode.javacv.cpp.opencv_imgproc.CvHistogram;

    import static com.googlecode.javacv.cpp.opencv_highgui.*;

    public class Main {

private static CanvasFrame AbsDiffFrame = new CanvasFrame("cvAbsDiff");
private static CanvasFrame SubDiffFrame = new CanvasFrame("cvSub");
private static CanvasFrame grayscale = new CanvasFrame("cvCvtColor CV_RGB2GRAY");
private static CanvasFrame binary = new CanvasFrame("cvThreshold CV_THRESH_BINARY");
private static CanvasFrame hsv = new CanvasFrame("cvCvtColor CV_RGB2HSV");
private static CanvasFrame cvMultiplyAcc = new CanvasFrame("cvMultiplyAcc");
private static CanvasFrame hsv2 = new CanvasFrame("cvCvtColor CV_RGB2HSV");
private static IplImage input1;
private static IplImage input2;

public static void main(String[] args) {
    // TODO Auto-generated method stub

    AbsDiffFrame.setDefaultCloseOperation(javax.swing.JFrame.DISPOSE_ON_CLOSE);
    SubDiffFrame.setDefaultCloseOperation(javax.swing.JFrame.DISPOSE_ON_CLOSE);
    grayscale.setDefaultCloseOperation(javax.swing.JFrame.DISPOSE_ON_CLOSE);
    binary.setDefaultCloseOperation(javax.swing.JFrame.DISPOSE_ON_CLOSE);
    hsv.setDefaultCloseOperation(javax.swing.JFrame.DISPOSE_ON_CLOSE);
    hsv2.setDefaultCloseOperation(javax.swing.JFrame.DISPOSE_ON_CLOSE);
    cvMultiplyAcc.setDefaultCloseOperation(javax.swing.JFrame.DISPOSE_ON_CLOSE);

    input1 = cvLoadImage("input1.jpg",CV_LOAD_IMAGE_COLOR);
    input2 = cvLoadImage("input2.jpg",CV_LOAD_IMAGE_COLOR);

    ImageProcessor imgProc = new ImageProcessor();

    AbsDiffFrame.showImage(imgProc.getAbsDifference(input1, input2));

    IplImage img = imgProc.getSubDifference(input2,input1);

    SubDiffFrame.showImage(img);

    IplImage hsvImg = imgProc.rgbToHSV(input2);

    hsv.showImage(hsvImg);

    IplImage gray = imgProc.rgbToGrey(img);

    grayscale.showImage(gray);

    IplImage binaryImg = imgProc.getBinary(gray);

    binary.showImage(binaryImg);

    IplImage multiplyImage = imgProc.cvCopyImages(binaryImg, input2);

    cvMultiplyAcc.showImage(multiplyImage);

    IplImage hsvImg2 = imgProc.rgbToHSV(multiplyImage);

    hsv2.showImage(hsvImg2);

    CvHistogram hueHistogram = imgProc.getHueHistogram(hsvImg2);

    System.out.println("Done");

    System.out.printf("max hist value is: ", imgProc.getHistMaxValue(hueHistogram));

}

}

这里还有cvCopyImage方法：

        public static IplImage cvCopyImages (IplImage binary, IplImage color){

    IplImage result = cvCreateImage(new CvSize(color.width(),color.height()),color.depth(),3);

    cvCopy(color,result,binary);

    return result;

}