AUTOMATED CELL NUCLEUS SEGMENTATION USING IMPROVED SNAKE (WA-P4)

Author(s) : Min Hu (Information Engineering University, China) Xijian Ping (Information Engineering University, China) Yihong Ding (Information Engineering University, China)

Abstract : Accurate cell nucleus segmentation is crucial for the development of automated cytological cancer diagnosis system. This paper presents a novel cell nucleus segmentation method for gastric cardia biopsy smear image. Firstly the ultimate erosion is used to detect the localizations of nuclei. Then we use an improved active contour model to isolate the cell nucleus. A growing energy based on region similarity is added to the energy function to overcome the initialization problem of conventional snake. During energy minimization, the contour points are restricted to move along the radial directions, which reduces the computation complexity. The presented method has been tested on a number of gastric cardia cell images and the results are encouraging. It has been shown that the proposed method performs well not only on well separated nuclei but also on overlapped nuclei.

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