Title: Image retrieval using adapted Fourier Descriptors

Authors: T. Venu Gopal, B. Ramesh Naik, V. Kamakshi Prasad

Addresses: Department of Computer Science and Engg., JNTUH College of Engg, Nachu Pally, Karimnagar Dist, AP 505501, India. ' Department of Computer Science and Engg., GIT, GITAM University, Vizag, AP, India. ' SIT, JNTU Hyderabad, AP, India

Abstract: We present a novel method of representing a shape. It is an adaptation of Fourier-theory-based descriptors. To obtain a good boundary description, we choose to define it in an 8-connectivity. Fourier Descriptors (FDs) have a disadvantage of giving equal weights to all its 8-neighbours. So, the Fourier coefficient formula must be completely recomputed so that horizontal and vertical neighbours are given more weight when compared with the diagonal neighbours. Under Java retrieval framework, we compare our proposed results with the existing FDs and validate the proposed method.

Keywords: CBIR; content-based image retrieval; feature database; adapted Fourier descriptors; MPEG-7; shape representation.

DOI: 10.1504/IJSISE.2010.036891

International Journal of Signal and Imaging Systems Engineering, 2010 Vol.3 No.3, pp.188 - 194

Accepted: 13 Aug 2010
Published online: 15 Nov 2010 *

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