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.
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