Recent advances on erythrocyte image segmentation for biomedical applications

Abstract

Image segmentation is the process of partitioning an image into multiple segments and it is one of the most important steps for automatic cell analysis, because the result of final classification depends mainly on the correct image segmentation. In this paper, some general segmentation methods have reviewed which is mainly used in biomedical image processing especially in erythrocyte image. The main goal of biomedical image segmentation was to extract the foreground which contains the useful information from complicated background for the medical diagnosis.