Image retrieval based on shape similarity by edge orientation autocorrelogram

Abstract

This paper introduces a new feature vector for shape-based image indexing and retrieval. This feature classi5es image edges based on two factors: their orientations and correlation between neighboring edges. Hence it includes information of continuous edges and lines of images and describes major shape properties of images. This scheme is e8ective and robustly tolerates translation, scaling, color, illumination, and viewing position variations. Experimental results show superiority of proposed scheme over several other indexing methods. Averages of precision and recall rates of this new indexing scheme for retrieval as compared with traditional color histogram are 1.99 and 1.59 times, respectively. These ratios are 1.26 and 1.04 compared to edge direction histogram. ? 2003 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

DOI: 10.1016/S0031-3203(03)00010-4

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@article{Mahmoudi2003ImageRB, title={Image retrieval based on shape similarity by edge orientation autocorrelogram}, author={Fariborz Mahmoudi and Jamshid Shanbehzadeh and Amir-Masoud Eftekhari-Moghadam and Hamid Soltanian-Zadeh}, journal={Pattern Recognition}, year={2003}, volume={36}, pages={1725-1736} }