05-10-2016, 07:56 AM
From an article on colourspace management to reveal details in images (which is where I got the idea from):
Quote: Channel Inspector losslessly or nearly losslessly transforms images from a standard RGB colorspace into a variety of other colorspaces. In certain of these spaces, obscure content and even unsuspected features of the object(s) in the image may become starkly clear. Color scientists have created algorithms for transformations between these colorspaces. Image processing scientists and engineers often transform images into these colorspaces to aid "image segmentation" in which the image is segmented into related regions, allowing features of interest to be isolated. Image analysts use the segmented images to isolated and analyze features of interest in such applications as automated identification of individuals and vehicles (faces, postures, iris patterns, license plates) or automated experimental quantification such as counting cells in a defined area to determine culture plate density or to quantify ecosphere changes from satellite data (e..g. the changing boundaries of the Sahara desert or the equatorial rainforests).
