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Article:Skeleton based Signatures for Content based Image Retrieval

by M. Narayana, Sandeep V.M, Subhash Kulkarni
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 7
Year of Publication: 2011
Authors: M. Narayana, Sandeep V.M, Subhash Kulkarni
10.5120/2898-3793

M. Narayana, Sandeep V.M, Subhash Kulkarni . Article:Skeleton based Signatures for Content based Image Retrieval. International Journal of Computer Applications. 23, 7 ( June 2011), 29-34. DOI=10.5120/2898-3793

@article{ 10.5120/2898-3793,
author = { M. Narayana, Sandeep V.M, Subhash Kulkarni },
title = { Article:Skeleton based Signatures for Content based Image Retrieval },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 7 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 29-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number7/2898-3793/ },
doi = { 10.5120/2898-3793 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:33.194696+05:30
%A M. Narayana
%A Sandeep V.M
%A Subhash Kulkarni
%T Article:Skeleton based Signatures for Content based Image Retrieval
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 7
%P 29-34
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Content Based Image Retrieval with fast and high matching retrieving ability is the need of the day for shape mining. A simple, fast, robust, invariant and efficient Content Based image Retrieval system with shape signatures derived from skeleton, region and boundary of the object is presented. The shape signatures derived from distance mapped function are invariant to rotation and scaling.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Skeleton Shape Signature Shape Retrieval CBIR DSFT

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