Microscope cell color images segmentation by fuzzy morphological reconstruction

Abstract

There are many different methods to perform gray level segmentation in microscope cell images however, in some circumstances, texture features and roughness are not as relevant as the color for the segmentation task. In many biomedical applications, where these types of images are analyzed, the aim is to segment nuclei for their clinical analysis. In this work, a fuzzy color mathematical morphology reconstruction technique was developed, based on a new locally defined ordering, to achieve microscope cell images segmentation. We show experimental results for this proposed fuzzy color morphological reconstruction, which show that this tool can be efficiently applied in cells segmentation without generating false colors.