What does cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC1);
opencv
Solution
When the `normType` is `NORM_MINMAX`, `cv::normalize` normalizes `_src` in such a way that the min value of `dst` is `alpha` and max value of `dst` is `beta`. `cv::normalize` does its magic using only scales and shifts (i.e. adding constants and multiplying by constants).
`CV_8UC1` says how many channels `dst` has.
The documentation here is pretty clear: http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#normalize
Problem
What does the `cv::normalize(_src, dst, 0, 255, NORM_MINMAX, CV_8UC1);` do in OpenCV? I went through the documentation and was unable to understand what `alpha`, `beta`, `NORM_MINMAX` and `CV_8UC1` actually do. I am aware alpha sets the lower and beta the higher bound. `CV_8UC1` stands for an 8-bit unsigned single channel. But what exactly these arguments do to the picture is what I am unable to comprehend.