Texture retrieval with descriptors based on local fourier transform: comparing the rectangular and circular neighborhoods

Ahsan Ahmad URSANI; Wajiha SHAH; Syed Asif Ali SHAH

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Texture retrieval with descriptors based on local fourier transform: comparing the rectangular and circular neighborhoods

Author(s)

Ahsan Ahmad URSANI Department of Telecommunication Engineering, Mehran University of Engineering & Technology, Jamshoro, PAKISTAN

Wajiha SHAH Department of Electronic & Biomedical Engineering, Mehran University of Engineering & Technology, Jamshoro, PAKISTAN

Syed Asif Ali SHAH Department of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro, PAKISTAN

Abstract

The texture descriptors derived from 1-D DFT (Discrete Fourier Transform) of the pixel values of a local neighborhood have been shown to perform better than the methods based on wavelets for image retrieval and recognition. These DFT based texture descriptors were extracted from rectangular or circular neighbourhoods. This paper compares the texture descriptors extracted from rectangular and the circular neighbourhoods previously proposed in the literature. A database of images is constructed from Brodatz album and the texture descriptors extracted from the two types of neighbourhoods are compared for texture retrieval. This paper shows that extracting DFT based features from circular neighbourhood is almost thrice as expensive as extracting the same from the rectangular neighbourhood. The results of image retrieval on a large image database show that the descriptor extracted from rectangular neighbourhoods performs better than the same extracted from the circular neighbourhoods.

Publication Details

Page(s) 167-172

DOI DOI not available

Published Journal: Mehran University Research Journal of Engineering and Technology, Volume: 30, Issue: 1, Year: 2011

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