A Gabor Wavelet Transformation-Based Texture Images Classification Algorithm-Reference-Cited by-同舟云学术

A Gabor Wavelet Transformation-Based Texture Images Classification Algorithm

Published:2013-09 Issue: Volume:811 Page:430-434
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Wang Hai Feng¹,Zhang Kun²,Ren Hong E¹

Affiliation:

1. Northeast Forestry University

2. Qiongzhou University Sanya

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.811.430.pdf

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