Segmentation of White Matter Based on Region Growing and Threshold Theory

摘要：

In order to reduce the massive manual interventioninvolved in the existing segmentation methods for humancross-section slice images, a segmentation algorithm based on thetheory of region growing and threshold in normal grayhistogram was proposed in this paper, according to the featuresof slice images of human brain. More exactly, these slice imageswere initially segmented coarsely by means of the region growing.Then the method of threshold in normal gray histogram wasadopted to refine the segmentation. The experimental resultsindicate that the proposed algorithm can segment white matteraccurately and effectively.

作者: Min Li Hongyan Luo Renbin He Wenwu Zhu Liwen Tan Yi Wu

作者单位: College of Bioengineering,Chongqing University,Chongqing, China Department of Anatomy,Third Military Medical University,Chongqing, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）