计算机工程与应用2019，Vol.55Issue(14)：162-167,6.DOI:10.3778/j.issn.1002-8331.1812-0370
基于最大内切圆的肝影像自动分割方法
Automatic Segmentation Method of Liver Image Based on Maximum Inscribed Circle
摘要
Abstract
Aiming to the problem of selecting the seed points manually and the accuracy and integrity of extracting the liver region, an automatic segmentation method based on the maximum inscribed circle is proposed in this paper. Firstly, the method uses the maximum area measurement method to lock the binarized liver region, and then automatically acquires the seed point position by finding the center of the largest inscribed circle that locks the liver region. Finally, the improved region growing algorithm is used for image segmentation. The experimental results show that the method effectively solves the problem of manually selecting seed points for regional growth, and can accurately and completely segment the liver tissue. In addition, it avoids subjective factors to select seed points at the wrong positions such as edges or noise.关键词
图像分割/种子点/区域生长/肝脏分割Key words
image segmentation/seed point/region growth/liver segmentation分类
信息技术与安全科学引用本文复制引用
夏永泉,谢希望,支俊,乔四海..基于最大内切圆的肝影像自动分割方法[J].计算机工程与应用,2019,55(14):162-167,6.基金项目
国家自然科学基金(No.81501547) （No.81501547）
河南省科技攻关项目(No.172102410080). （No.172102410080）
