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A Robust Method for Automatic Segmentation and Recognition of Apoptosis Cell  

Liu, Hai-Ling (조선대학교 정보통신공학과)
Shin, Young-Suk (조선대학교 정보통신공학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.15, no.6, 2009 , pp. 464-468 More about this Journal
Abstract
In this paper we propose an image-based approach, which is different from the traditional flow cytometric method to detect shape of apoptosis cells. This method can overcome the defects of cytometry and give precise recognition of apoptosis cells. In this work K-means clustering was used to do the rough segmentation and an active contour model, called 'snake' was used to do the precise edge detection. And then some features were extracted including physical feature, shape descriptor and texture features of the apoptosis cells. Finally a Mahalanobis distance classifier classifies the segmentation images as apoptosis and non-apoptosis cell.
Keywords
apoptosis; segmentation; active contours;
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