Shape Classification and Retrieval Based on the V-System

Article Preview

Abstract:

In this paper, a method for describing 2D shape characteristic is presented. The similarity between any two shapes is measured by the Euclidian distance between their corresponding new shape descriptors. Accordingly, a new classification and retrieval technique is proposed by comparing the similarity between two shapes. To evaluate the proposed method, we applied it on the benchmark data set MPEG-7-PartB for shape classification and retrieval. The results show that the V-descriptor has higher efficiency than Zernike moment, pseudo Zernike moment, the central moment and moment invariants.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

227-232

Citation:

Online since:

June 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. K. Chang, and A. Hsu, Image information systems: where do we go from here, IEEE Trans. on Knowledge and Data Engineering, 5 (1992), pp.431-442.

DOI: 10.1109/69.166986

Google Scholar

[2] Dengsheng Zhang, Guojun Lu, Review of shape representation and description techniques, Pattern Recognition, 37 (2004), pp.1-19.

Google Scholar

[3] Xin Shu, Xiao-Jun Wu, A novel contour descriptor for 2D shape matching and its application to image retrieval, Image and Vision Computing, 29 (2011), p.286–294.

DOI: 10.1016/j.imavis.2010.11.001

Google Scholar

[4] Akrem El-ghazal, Otman Basir, Saeid Belkasim, Farthest point distance: A new shape signature for Fourier descriptors, Signal Processing: Image Communication, 24 (2009), p.572–586.

DOI: 10.1016/j.image.2009.04.001

Google Scholar

[5] A.K. Jain, A. Vailaya, Shape-Based Retrieval: A Case Study with Trademark Image Databases, Pattern Recognition, 31 (1998), pp.1369-1390.

DOI: 10.1016/s0031-3203(97)00131-3

Google Scholar

[6] Iivari Kunttu, Leena Lepisto, Juhani Rauhamaa, Ari Visa, Multiscale Fourier descriptors for defect image retrieval, Pattern Recognition Letters, 27 (2006), p.123–132.

DOI: 10.1016/j.patrec.2005.08.022

Google Scholar

[7] Kamal Nasreddine, Abdesslam Benzinou, Ronan Fablet, Variational shape matching for shape classification and retrieval, Pattern Recognition Letters, 31 (2010), p.1650 –1657

DOI: 10.1016/j.patrec.2010.05.014

Google Scholar

[8] Ruixia Song, Hui Ma, Tianjun Wang, Dongxu Qi, A new class of complete orthogonal V-system and its applications, Communication on Pure and Applied Analysis, 6 (2007), p.853 –871.

Google Scholar