NDLI: Skeleton extraction of color cerbrovascular image based on topological nodes

Content Provider	IEEE Xplore Digital Library
Author	Mingzhao Li Aipeng Qi
Copyright Year	2010
Description	Author affiliation: Dept. of Computer Information and Engineering, Luoyang Institute of Science and Technology, LIT., Luoyang, China (Mingzhao Li) \|\| Dept. of Computer Engineering, Henan Industry and Trade Vocational Collage, Zhengzhou, China (Aipeng Qi)
Abstract	In this paper, a new continuous skeleton extraction method on color image was proposed. This method uses a new level set model in color space to extract the topology node of an object using a skeleton point as source-point which spreading a moderate wave-front, and then using these topology nodes as new source nodes, it spreads the second high-speed transmission wave front in order to identify skeleton points. All the parameters are obtained from the analysis, avoiding human intervention. Experiment and analysis can verify the validity and the robustness of this method, and it is insensitive to color gradient and boundary noise.
Starting Page	1133
Ending Page	1137
File Size	329895
Page Count	5
File Format	PDF
ISBN	9781424465132
e-ISBN	9781424465163
DOI	10.1109/CISP.2010.5646711
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Level Set Model skeleton extraction Image color analysis Level set cerebral vascular image Color color image Skeleton Topology Mathematical model Colored noise HSV color space
Content Type	Text
Resource Type	Article

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