Histogram equalization uses a monotonic and a non-linear mapping which reassigns the pixel intensity values in the input image in such a way that the output image has a uniform distribution of intensities (a flat histogram), and thereby enhances the contrast of the image. The following screenshot describes the transformation function for histogram equalization:
The following code block shows how to use the exposure module's equalize_hist() function to do histogram equalization with scikit-image. The histogram equalization implementation has two different flavors: one is a global ...
