Cell nuclei segmentation using fuzzy logic engine

The task of segmenting cell nuclei in microscope images is a classical image analysis problem. The accurate nuclei segmentation may contribute to development of successful system which automate the analysis of microscope images for pathology detection. In this article we describe a method for semi-supervised training of fuzzy logic engine. The fuzzy logic engine is applied to connect a set of parameters proven to be important for nucleus segmentation. In addition each parameter for itself is detected using a set of fuzzy logic rules. We present results of nuclei segmentation using fuzzy logic set of rules.

• Type: Conference
• Year: 2004
• Where: ICIP
• Authors: Grigory Begelman, Eran Gur, Ehud Rivlin, Michael Rudzsky, Zeev Zalevsky
• Keywords: Accurate Nuclei Segmentation, Fuzzy Logic Engine, Fuzzy Logic Rules, Fuzzy Logic Set, ICIP 2004, Image Processing, Nucleus Segmentation