Coherence based histograms for shape retrieval

Sajjanhar, Atul, Lu, Guojun and Zhang, Dengsheng 2004, Coherence based histograms for shape retrieval, in Third International Conference on Computer Sciences, Software Engineering, Information Technology, E-Business and Applications, [Conference on Computer Sciences, Software Engineering, Information Technology, E-Business and Applications], [Cairo, Egypt], pp. 1-5.

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Title Coherence based histograms for shape retrieval
Author(s) Sajjanhar, Atul
Lu, Guojun
Zhang, Dengsheng
Conference name Conference on Computer Sciences, Software Engineering, Information Technology, E-Business and Applications (3rd: 2004 : Cairo, Egypt)
Conference location Cairo, Egypt
Conference dates 27-29 December 2004
Title of proceedings Third International Conference on Computer Sciences, Software Engineering, Information Technology, E-Business and Applications
Editor(s) Debnath, Narayan
Publication date 2004
Start page 1
End page 5
Publisher [Conference on Computer Sciences, Software Engineering, Information Technology, E-Business and Applications]
Place of publication [Cairo, Egypt]
Summary Histograms have been used for Shape Representation and Retrieval. The drawback of the histograms method is that histograms can be same for dissimilar shapes, which renders the method less effective for retrieval of shapes. In this paper, we describe the concept of coherence. We show how coherence can be used with distance and angular histograms. We perform experiments to test the effectiveness of the proposed method. It is found that coherence improves accuracy of retrieval significantly.
ISBN 0974205915
9780974205915
Language eng
Field of Research 080106 Image Processing
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2005 Monash University
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005398

Document type: Conference Paper
Collection: School of Information Technology
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