Openly accessible

Corners-based composite descriptor for shapes

Sajjanhar, Atul, Lu, Guojun, Zhang, Dengsheng and Zhou, Wanlei 2008, Corners-based composite descriptor for shapes, in CISP 2008 : Proceedings of the First International Congress on Image and Signal Processing, IEEE, Piscataway, N.J., pp. 714-718.

Attached Files
Name Description MIMEType Size Downloads
zhou-cornersbased-2008.pdf Published version application/pdf 422.10KB 72

Title Corners-based composite descriptor for shapes
Author(s) Sajjanhar, Atul
Lu, Guojun
Zhang, Dengsheng
Zhou, Wanlei
Conference name IEEE International Congress on Image and Signal Processing (1st : 2008 : Hainan, China)
Conference location Hainan, China
Conference dates 27-30 May 2008
Title of proceedings CISP 2008 : Proceedings of the First International Congress on Image and Signal Processing
Editor(s) Li, Dongguang
Deng, Guang
Publication date 2008
Conference series International Congress on Image and Signal Processing
Start page 714
End page 718
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) CBIR
shape retrieval
Summary In this paper, a composite descriptor for shape retrieval is proposed. The composite descriptor is obtained based upon corner-points and shape region. In an earlier paper, we proposed a composite descriptor based on shape region and shape contour, however, the descriptor was not effective for all perspective and geometric transformations. Hence, we modify the composite descriptor by replacing contour features with corner-points features. The proposed descriptor is obtained from Generic FourierDescriptors (GFD) of the shape region and the GFD ofthe corner-points. We study the performance of the proposed composite descriptor. The proposed method is evaluated using Item S8 within the MPEG-7 Still Images Content Set. Experimental results show that the proposed descriptor is effective.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 9780769531199
Language eng
Field of Research 080106 Image Processing
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018198

Document type: Conference Paper
Collections: School of Engineering and Information Technology
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 385 Abstract Views, 72 File Downloads  -  Detailed Statistics
Created: Fri, 14 Aug 2009, 14:05:55 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.