Created
June 18, 2015 22:38
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Find the median of a single channel using OpenCv
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namespace cv { | |
// calculates the median value of a single channel | |
// based on https://github.com/arnaudgelas/OpenCVExamples/blob/master/cvMat/Statistics/Median/Median.cpp | |
double median( cv::Mat channel ) | |
{ | |
double m = (channel.rows*channel.cols) / 2; | |
int bin = 0; | |
double med = -1.0; | |
int histSize = 256; | |
float range[] = { 0, 256 }; | |
const float* histRange = { range }; | |
bool uniform = true; | |
bool accumulate = false; | |
cv::Mat hist; | |
cv::calcHist( &channel, 1, 0, cv::Mat(), hist, 1, &histSize, &histRange, uniform, accumulate ); | |
for ( int i = 0; i < histSize && med < 0.0; ++i ) | |
{ | |
bin += cvRound( hist.at< float >( i ) ); | |
if ( bin > m && med < 0.0 ) | |
med = i; | |
} | |
return med; | |
} | |
} |
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@facug91 - I know. That's why I don't use this code when calculating the median value. I use something else instead. Just wanted to put that comment in for the sake of completeness.