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Connectivity-based shape descriptors

Sajjanhar, A., Lu, G., Zhang, D. and Zhou, W. 2010, Connectivity-based shape descriptors, International journal of computers and applications, vol. 32, no. 1, pp. 93-98.

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Title Connectivity-based shape descriptors
Author(s) Sajjanhar, A.
Lu, G.
Zhang, D.
Zhou, W.
Journal name International journal of computers and applications
Volume number 32
Issue number 1
Start page 93
End page 98
Total pages 6
Publisher ACTA Press
Place of publication Calgary, Canada
Publication date 2010
ISSN 1206-212X
Keyword(s) shape representation
image retrieval
content-based image retrieval
pattern recognition
Summary In this paper, we propose a method for indexing and retrieval of images based on shapes of objects. The concept of connectivity is introduced. 3D models are used to represent 2D images. 2D images are decomposed a priori using connectivity which is followed by 3D model construction. 3D model descriptors are obtained for 3D models and used to represent the underlying 2D shapes. We have used spherical harmonics descriptors as the 3D model descriptors. Difference between two images is computed as the Euclidean distance between their descriptors. Experiments are performed to test the effectiveness of spherical harmonics for retrieval of 2D images. The proposed method is compared with methods based on principal components analysis (PCA) and generic Fourier descriptors (GFD). It is found that the proposed method is effective. Item S8 within the MPEG-7 still images content set is used for performing experiments.
Language eng
Field of Research 080106 Image Processing
Socio Economic Objective 890301 Electronic Information Storage and Retrieval Services
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, EBSCO Industries, Inc. All rights reserved.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30031985

Document type: Journal Article
Collection: School of Information Technology
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