文献类型：期刊文献

英文题名：Research and implementation of automate segmentation for low contrast medical images

作者：Chang, Qing[1]; Yan, Jichao[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2009

外文期刊名：Proceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

收录：EI(收录号：20101212798875)

语种：英文

外文关键词：Image texture - Drop breakup - Numerical methods - Image segmentation - Level measurement - Medical imaging

摘要：A new algorithm by using geometric active contour model with the fusion of shape and texture priors to manual segment medical images has been presented in this paper. Then the prior knowledge is merged into active contour model with its contour evolution which is evolved using a genetic algorithm technique. The new method has some advantages over classical level set methods in case of images with weak and fuzzy edges. Series of experiments have been carried out to evaluate the new method. The experimental results indicate the proposed method is effective. ?2009 IEEE.