Texture retrieval with descriptors based on local fourier transform: comparing the rectangular and circular neighborhoods | [Mehran University Research Journal of Engineering and Technology • 2011]

Author(s):

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

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

3. 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.

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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