Paper Title:

Liver Image Segmentation Using Improved Watershed Method

Periodical Applied Mechanics and Materials (Volumes 58 - 60)
Main Theme Information Technology for Manufacturing Systems II
Edited by Qi Luo
Pages 1311-1316
DOI 10.4028/
Citation Xiao Hui Xie et al., 2011, Applied Mechanics and Materials, 58-60, 1311
Online since June, 2011
Authors Xiao Hui Xie, Cui Ma, Xiao Fang Yu, Ru Xu Du
Keywords Image Segmentation, Post-Processing, Pre-Processing, Watershed
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This paper introduces an improved watershed algorithm for liver image segmentation. Medical images have complicated structure and the soft tissues have deformation sometimes. To exactly conduct the following image registration or surgery navigation, the image segmentation must identify the changes quickly and accurately. Watershed algorithm has fast speed and good edge location for complex structure, but it is sensitive to noise and has the over-segmentation problem. In this paper, pre-processing and post-processing methods are proposed during watershed segmentation procedure. According to the thresholds of region area and gray difference between adjacent regions, the image noise is reduced at pre-processing stage and the over-segmented regions are merged at post-processing part. Through the experiment of two similar liver images, we can see the segmented images have clear outline and the difference of two images can be identified obviously.

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