NDLI: Contour segmentation using an improved GAC model

Content Provider	IEEE Xplore Digital Library
Author	Jianjun Yun Ping Li Yumei Wen
Copyright Year	2011
Description	Author affiliation: School of Mathematic and Statistics, Southwest university, Chongqing, 400715, China (Jianjun Yun) \|\| College of Optoelectronic engineering, Chongqing university, 400044, China (Ping Li; Yumei Wen)
Abstract	An improved geodesic active contour model for the detection of object boundaries is presented. A geodesic active contour model is based on an active contour evolving in time. The geodesic active contour model has a serious weakness, that is, it stops at a local minimum where there is a deep concave boundary in an image. The generalized geodesic active contour model makes an active contour convergent to long, thin boundary indentations by introducing a shrinkage force. In this paper, we present an improved geodesic active contour model based on the generalized geodesic active contour with an error term. Experimental results show that the proposed model works successfully for concave objects, it can not only detect object boundaries, but also improve double rings. The convergence rate is faster, the robust is better than the generalized geodesic active contour model.
Starting Page	508
Ending Page	511
File Size	262413
Page Count	4
File Format	PDF
ISBN	9781612847719
e-ISBN	9781612847740
DOI	10.1109/ICMT.2011.6001795
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Computer vision Computational modeling Image edge detection Level set Force Error function Gradient flow Mathematical model Geodesic active contour Active contours
Content Type	Text
Resource Type	Article

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