A Gabor Wavelet Transformation-Based Texture Images Classification Algorithm

Hai Feng Wang; Kun Zhang; Hong E Ren

doi:10.4028/www.scientific.net/AMR.811.430

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 811A Gabor Wavelet Transformation-Based Texture...

A Gabor Wavelet Transformation-Based Texture Images Classification Algorithm

Abstract:

In this paper, we introduce a texture image classification algorithm based on Gabor wavelet transform. Using Gabor wavelet transform, image is decomposed into sub-bands images in multiresolution and multi-direction, and we extract texture feature from all sub-bands images. Then the algorithm groups feature image into clusters by the k near neighbor algorithm. The experimental results on dataset Brodatz showed that the proposed algorithm can achieve an ideal accuracy rate and excellent classification effect.

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Periodical:

Advanced Materials Research (Volume 811)

Pages:

430-434

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.811.430

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Online since:

September 2013

Authors:

Hai Feng Wang, Kun Zhang, Hong E Ren

Keywords:

Gabor Wavelet Transform, Modulus Maxima, Texture Features Classification

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