我正在第04章“OpenCV 2计算机视觉应用程序编程手册”一书中运行示例。calcHist返回的只有2个直方图是黑色的,并且紧跟着源。运行结果如下所示。
ColorHistogram() {
// Prepare arguments for a color histogram
histSize[0]= histSize[1]= histSize[2]= 256;
hranges[0]= 0.0; // BRG range
hranges[1]= 255.0;
ranges[0]= hranges; // all channels have the same range
ranges[1]= hranges;
ranges[2]= hranges;
channels[0]= 0; // the three channels
channels[1]= 1;
channels[2]= 2;
}
...
// Computes the 2D ab histogram.
// BGR source image is converted to Lab
cv::MatND getabHistogram(const cv::Mat &image) {
cv::MatND hist;
// Convert to Lab color space
cv::Mat lab;
cv::cvtColor(image,lab,CV_BGR2Lab);
// Prepare arguments for a 2D color histogram
hranges[0]= -128.0;
hranges[1]= 127.0;
channels[0]= 1; // the two channels used are ab
channels[1]= 2;
// Compute histogram
cv::calcHist(&lab,
1, // histogram of 1 image only
channels, // the channel used
cv::Mat(), // no mask is used
hist, // the resulting histogram
2, // it is a 2D histogram
histSize, // number of bins
ranges // pixel value range
);
return hist;
}
错误在哪里?我想不明白。将图像转换为Lab格式时,cvtColor(...)函数是否运行错误?
最佳答案
该代码有错误。您正在为通道分配随机值。
将范围更改为calchist()中的hranges。
试试这个:
cv::MatND getabHistogram(const cv::Mat &image) {
cv::MatND hist;
// Convert to Lab color space
cv::Mat lab;
cv::cvtColor(image,lab,CV_BGR2Lab);
// Prepare arguments for a 2D color histogram
hranges[0]= -128.0;
hranges[1]= 127.0;
channels[0]= 1; // the two channels used are ab
channels[1]= 2;
// Compute histogram
cv::calcHist(&lab,
1, // histogram of 1 image only
channels, // the channel used
cv::Mat(), // no mask is used
hist, // the resulting histogram
2, // it is a 2D histogram
histSize, // number of bins
hranges // pixel value range
);
return hist;
}
关于c++ - 使用cvtColor后,opencv calcHist返回黑色直方图,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/48576829/