Statistical Investigation of Skin Image for Disease Analyzing in Rural Area Using Matlab

This paper discusses the analysis of skin disease images. The purpose of the study is to find the unique characteristic of an image for digital processing purposes. Fast and simple processing is necessary for analyzing skin diseases, especially in remote areas where there is no or less medical support. Nine images that have been selected randomly were changed into three-dimensional matrices using Matlab. Then, the analysis is done in several color formats such as RGB, YCbCr, HSV, and HSI. The images were also analyzed after their contrast level was increased using contrast enhancement, histogram equalization, and contrast-limited adaptive histogram equalization techniques. Some statistical parameters such as mean, median and standard deviation are used as a reference in the analysis process. The most suitable color format for the above purposes is YCbCr and the most appropriate contrast enhancement technique if required is the histogram equalization.