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Connectivity-based shape descriptors

journal contribution
posted on 2010-01-01, 00:00 authored by Atul SajjanharAtul Sajjanhar, G Lu, D Zhang, Wanlei Zhou
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.

History

Journal

International journal of computers and applications

Volume

32

Issue

1

Pagination

93 - 98

Publisher

ACTA Press

Location

Calgary, Canada

ISSN

1206-212X

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2010, EBSCO Industries, Inc. All rights reserved.

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