NDLI: An active contour model based on multiple boundary measures

Content Provider	IEEE Xplore Digital Library
Author	Lei Zhou Yu Qiao Jie Yang Yonghui Gao
Copyright Year	2013
Description	Author affiliation: Key Lab. of Minist. of Educ. for Syst. Control & Inf. Process., Shanghai Jiao Tong Univ., Shanghai, China (Lei Zhou; Yu Qiao; Jie Yang; Yonghui Gao)
Abstract	Weak boundary contrast, inhomogeneous background and overlapped intensity distributions of the object and background are main causes that may lead to failure of boundary detection for many traditional active contour methods. In this paper, we propose a region-based active contour model to address these problems in both local and global ways. A localized active contour framework is developed, in which two local boundary measures are introduced for the evolution of the level set function. These measures are used to select the boundary candidates for boundary preservation such that the evolution of the contour is guided in a reasonable way. The object boundary is determined by a global boundary measure which evaluates the boundary completeness during the entire evolution process. The experiments demonstrate that our method works well against weak boundary contrast, inhomogeneous background and overlapped intensity distributions.
Starting Page	524
Ending Page	528
File Size	537344
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active contours Level set Image segmentation Biomedical imaging Image edge detection Robustness Computer vision global boundary measure Region-based active contour model level set method local boundary measures boundary preservation
Content Type	Text
Resource Type	Article

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