NDLI: Tire impressions image segmentation algorithm based on C-V model without re-initialization

Content Provider	IEEE Xplore Digital Library
Author	Wang Zhen Wang Yunpeng Li Shiwu
Copyright Year	2011
Description	Author affiliation: College of Traffic, Jilin University, Changchun, China (Wang Zhen) \|\| College of Traffic, Beihang university, Beijing, China (Wang Yunpeng) \|\| College of Traffic, Jilin University Changchun, China (Li Shiwu)
Abstract	In this paper, we present a new tire impressions image segmentation algorithm based on C-V model without re-initialization by introducing an internal energy term that penalizes the deviation of the level set function from a signed distance function into the C-V model. The proposed model can keep the approximately the level set function as a signed distance function during the curve evolution. The level set function can be initialized with general functions that are more efficient to construct and easier to use than the widely used signed distance function in practice and speed up the curve evolution. Therefore, the consuming time to compute a signed distance function from an initial curve in irregular shape is saved. The proposed algorithm has been applied to both printing and collected tire impressions images in the scene with promising results.
Starting Page	541
Ending Page	545
File Size	1528292
Page Count	5
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014628
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	tire impressions Image segmentation C-V model Level set Capacitance-voltage characteristics image segmentation Signed distance function Robustness Mathematical model
Content Type	Text
Resource Type	Article

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