自动化学报2018，Vol.44Issue(5)：943-952,10.DOI:10.16383/j.aas.2017.c160383
基于位错理论的距离正则化水平集图像分割算法
Distance Regularized Level Set Image Segmentation Algorithm by Means of Dislocation Theory
摘要
Abstract
Dislocation theory of materials science is introduced into the level set method. Curve evolution of the level set method is viewed as a slipping process of edge dislocation,and the evolution of zero level set is driven by the dislocation configuration force which is derived from the dislocation dynamics mechanism. Combined with distance regularized level set method, the edge indicator function is replaced by the speed stopping function, and a new evolution equation of distance regularized level set method is constructed with the dislocation theory. In the proposed algorithm, the dislocation configuration force and the speed stopping function drive the curve evolution of level set. The dislocation configuration force reflects the average force on the unit length curve,not only including the gradient information of image but also including the information of the effective range of the dislocation configuration force. The proposed algorithm can effectively avoid the phenomenon that the level set function stops evolution because of abnormal image gradient,and the phenomenon of boundary leakage because of the smaller image gradient. Experimental results show that the proposed algorithm has good segmentation performance for images with weak boundaries.关键词
图像分割/水平集方法/位错/距离正则化Key words
Image segmentation/level set method/dislocation/distance regularized evolution引用本文复制引用
张帆,张新红..基于位错理论的距离正则化水平集图像分割算法[J].自动化学报,2018,44(5):943-952,10.基金项目
国家科技支撑计划项目(2015BAK01B06),河南省自然科学基金(162300410032)资助 Supported by National Key Technology Research and Develop-ment Program(2015BAK01B06),Natural Science Foundation of Henan Province(162300410032) （2015BAK01B06）
