OPT OpenIR  > 动态光学成像研究室
An Adaptive Stopping Active Contour Model for Image Segmentation
Niu, Yuefeng1,2; Cao, Jianzhong1; Zhou, Zuofeng1
Department动态光学成像研究室
2019-01
Source PublicationJOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
ISSN1975-0102;2093-7423
Volume14Issue:1Pages:445-453
Contribution Rank1
Abstract

Active contour models (ACMs) are widely used in image segmentation applications. However, the selection of maximum iterations which controls the convergence of the ACMs is still a challenging problem. In this paper, an adaptive method for choosing the optimal number of iterations based on the local and global intensity fitting energy is proposed, which increases the automaticity of the active contour model. Moreover, the adoption of the reaction diffusion (RD) method instead of the distance regularization term can improve the accuracy and speed of segmentation effectively. Experimental results on synthetic and real images show that the proposed model outperforms other representative models in terms of accuracy and efficiency.

KeywordImage segmentation Active contour model Reaction diffusion Adaptive stopping method
DOI10.1007/s42835-018-00030-8
Indexed BySCI
Language英语
WOS IDWOS:000459450800042
PublisherKOREAN INST ELECTR ENG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31175
Collection动态光学成像研究室
Corresponding AuthorNiu, Yuefeng
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Niu, Yuefeng,Cao, Jianzhong,Zhou, Zuofeng. An Adaptive Stopping Active Contour Model for Image Segmentation[J]. JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY,2019,14(1):445-453.
APA Niu, Yuefeng,Cao, Jianzhong,&Zhou, Zuofeng.(2019).An Adaptive Stopping Active Contour Model for Image Segmentation.JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY,14(1),445-453.
MLA Niu, Yuefeng,et al."An Adaptive Stopping Active Contour Model for Image Segmentation".JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 14.1(2019):445-453.
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