Just to complement @pi-null-mezon's answer.
Before converting image type from 32S to 8U, you must normalize the image. For that you don't need to create your own algorithm, OpenCV has a normalize function
This call
cv::normalize(inMat, outMat, CV_MINMAX, 0, 255)
Will transform the smallest pixels to 0, the highest one to 255, and all the in-between accordingly to the right proportion. After that, you convert outMat to 8U and you are ready to display it.
Hi! As docs says saturate_cast will be applied after conversion. If you downscale precision (from CV_32S to CV_8U) than all converted values that are more than 255 becomes 255 and less than 0 becomes 0. So, now you should decide is that behavior one that you want?
Asked: 2017-01-20 11:28:02 -0600
Seen: 2,925 times
Last updated: Jan 24 '17
can it be, you want a normalization (resulting in a CV_8U image) in the 1st place ?