NDLI: Skeleton extraction of cerebral vascular image based on topology node

Content Provider	IEEE Xplore Digital Library
Author	Aipeng Qi Jing Xu
Copyright Year	2010
Description	Author affiliation: Dept. of Computer Engineering, Henan Industry and Trade Vocational Collage, Zhengzhou, China (Aipeng Qi) \|\| The Institute of Intelligent Information Processing and Application, Soochow University, China (Jing Xu)
Abstract	Skeleton extraction has important application value on object recognition, shape retrieval and feature extraction. Traditional skeleton extraction methods more or less have some flaws. Due to the complexity and diversity of cerebral blood vessels images, the traditional skeleton extraction algorithm can not often get continuous skeletons. This paper presents a new framework to calculate the continuous brain blood vessel skeleton curves of binary images and gray-scale images. Algorithm first determines the shape topology nodes of objects, then extract skeletons using the topology nodes as sources point. Experiment and analysis can verify the validity and robustness of this method and it is not sensitive to the boundary noise. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
Starting Page	569
Ending Page	573
File Size	397305
Page Count	5
File Format	PDF
ISBN	9781424464951
e-ISBN	9781424464982
DOI	10.1109/BMEI.2010.5640001
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	Algorithm design and analysis binary image and gray-scale image Level Set Model skeleton extraction Surface waves Shape topology node Gray-scale Feature extraction Skeleton Topology
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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