Preliminary Study On Colour Correction Analysis For Medical Imaging Application

Abstract

This paper represents an effective method to enhance colour correction for tongue diagnosis. Colour Correction means exactly that, correcting the colour in image in the post production process. If the task of correcting an image is not in the workflow, it may be missing out on how great the image could look. It is one of the tasks of being a director of photography to get the best image to the colourist that can be. Understanding the camera’s limitation and using that knowledge on set is the first step in getting images that are much easier to correct later in the production workflow. Cameras record three colour responses of Red, Green and Blue (RGB) that are device dependent. In this work, preliminary research on tongue colour correction using polynomial regression algorithm has been implemented on Munsell colour checker for future tongue colour correction and diagnosis. The attained RGB colour space from Munsell Checker image converted to Lab colour space which is device independent colour space based on human visual system that is perceptually uniform. Then, several degrees of polynomial regression method are employed to provide comparative analysis on colour reproduction index to produce good quality of image after colour correction procedure. The experimental outcomes on colour checker show the colour difference is equal to 3.3289, ∆E*ab=3.3289 which is acceptable in digital image colour reproducibility.