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Liver Cancer CT Image Segmentation Methods Based on Watershed Algorithm

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3 Author(s)
Jianhua Liu ; Coll. of Inf. Eng., North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China ; Zhongyi Wang ; Rui Zhang

To achieve a effective segmentation for liver cancer CT image, this paper utilizes comprehensive the edge detection, the watershed algorithm and region merging approach, propose a segmentation method of liver cancer CT image based on the watershed algorithm, gain a better effect in the course of liver cancer CT image segmentation, and solve effectively the over-segmentation phenomenon of the traditional method, get closed, continuous, more accurate lesion region contour. The experimental results show that the method can be used to achieve better liver cancer CT image lesions region segmentation.

Published in:

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference:

11-13 Dec. 2009