文章基本信息

标题：Region and Boundary Segmentation of Microcalcifications using Seed-Based Region Growing and Mathematical Morphology
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作者：Aminah Abdul Malek ; Aminah Abdul Malek ; Wan Eny Zarina Wan Abdul Rahman 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2010
卷号：8
页码：634-639
DOI：10.1016/j.sbspro.2010.12.088
语种：English
出版社：Elsevier
摘要：In this paper an image segmentation technique is presented by combining seed based region growing and boundary segmentation in sequential order. The first process in region growing is to identify an initial seed point. Most of region growing methods identify the seed point manually which involve human interaction. Thus, automated initial seed point identification for region growing algorithm is proposed. The boundary segmentation technique is implemented in order to improve the segmentation results. The method is tested on 50 mammogram images confirmed by a radiologist to consist microcalcifications. Experimental results show that the algorithm successfully segment the microcalcifications with accuracy of 0.94.
关键词：Segmentation;Seed based region growing;Mathematical morphology;Microcalcifications