Contrast Modification as a Tool to Study the Structure of Blood Components

Abstract

This paper focuses on the analysis and processing of blood microscopic images because of its importance to do a comprehensive analysis and diagnosis of human health. Due to the complexity of such work, we did explore various possible methods such as histogram equalization of brightness values (luminance), non-linear stretching of dynamic range of brightness values, masks filtering and fuzzy masking to get more accurate results. Color segmentation method has been used to analyze the structure of blood microscopic images. The results have showed that image segmentation increases when using fuzzy masking method, which in turn leads to increase and improve the analysis of blood microscopic images.