小编oxi*_*178的帖子

我在我们的论文（文凭）中使用了 OpenCV 的 MeanShift 算法。QT4.6中的示例效果很好。仅在我们自己的 GUI 应用程序中，我们收到 320x3x240 RGB 流时，才会给出以下错误消息：

OpenCV Error: Assertion failed (j < nimages) in histPrepareImages, file /home/luca/OpenCvSDK/opencv-src/modules/imgproc/src/histogram.cpp, line 148
terminate called after throwing an instance of 'cv::Exception'
  what():  /home/luca/OpenCvSDK/opencv-src/modules/imgproc/src/histogram.cpp:148: error: (-215) j < nimages in function histPrepareImages

GUI是在Ubuntu下使用Eclipse/QT4.6进行编程的。这是代码：

// Mean Shift Algorithm On
minSat=65;
ch[1]={0};
if (m_meanShiftAlgoOn)
{
    if (m_firstFrame)
    {
        m_firstFrame = false;
        // Define ROI
        imageROI= m_currentFrame(       cv::Rect(m_meanShift_xPos,m_meanShift_yPos,
                                                 m_meanShift_width,m_meanShift_height));
        cv::rectangle(m_currentFrame,   cv::Rect(m_meanShift_xPos,m_meanShift_yPos,m_meanShift_width,
                                                 m_meanShift_height),cv::Scalar(0,0,255));
        // Get the Hue histogram
        ColorHistogram hc;
        cv::MatND colorhist= hc.getHueHistogram(imageROI,minSat);

        finder.setHistogram(colorhist);
        finder.setThreshold(0.2f); …