CELL NUCLEI SEGMENTATION USING FUZZY LOGIC ENGINE (WA-P8)

Author(s) : Grigory Begelman (Computer Science Dept., Technion- Israel Institute of Technology, Israel) Eran Gur (Faculty of Eng., Tel-Aviv University, Israel) Ehud Rivlin (Computer Science Dept., Technion- Israel Institute of Technology, Israel) Michael Rudzsky (Computer Science Dept., Technion- Israel Institute of Technology, Israel) Zeev Zalevsky (School of Engineering, Bar-Ilan University, Israel)

Abstract : 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.

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