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我正在尝试将二进制图像掩盖到原始图像上,大多数情况下它都可以工作,但是我偶尔会得到这个:

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关于为什么会发生这种情况以及如何解决它的任何想法?提前致谢 :)

编辑:好的,所以我有 2 张图像,我发现它们之间的区别,最终是手。

在此处输入图像描述 在此处输入图像描述

好结果的例子

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然后我将差异图像转换为灰度,将图像二值化(使用 cvThreshold),最后将结果用作 input2 上的掩码(带有手的原始图像)。最后的操作 cvCopy 似乎是造成这种撕裂的原因,请注意它有时只会发生(大约 1/5 次)。

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;

}
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