基于Gabor小波的纹理图像分类

doi:10.13371/j.cnki.chin.q.j.m.2014.02.022

数学季刊 ›› 2014, Vol. 29 ›› Issue (2): 307-316.doi: 10.13371/j.cnki.chin.q.j.m.2014.02.022

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基于Gabor小波的纹理图像分类

1. Institute of Applied Mathematics, College of Mathematics and Information Sciences, Henan University 2. The Seventh High School in Zhengzhou

收稿日期:2013-10-30 出版日期:2014-06-30 发布日期:2023-04-10
作者简介:DENG Wei-bing(1978-), male, native of Pingdingshan, Henan, a lecturer of Henan University, engages in applied mathematics.
基金资助:
Supported by the National Natural Science Foundation of China(61071189)； Supported by the Key Project of Science and Technology of the Education Department of Henan Province(14A120009)； Supported by the Program of Young Scholar of the Peoples Republic of Henan Province China(2013GGJS-027)

Texture Image Classification Based on Gabor Wavelet

1. Institute of Applied Mathematics, College of Mathematics and Information Sciences, Henan University 2. The Seventh High School in Zhengzhou

Received:2013-10-30 Online:2014-06-30 Published:2023-04-10
About author:DENG Wei-bing(1978-), male, native of Pingdingshan, Henan, a lecturer of Henan University, engages in applied mathematics.
Supported by:
Supported by the National Natural Science Foundation of China(61071189)； Supported by the Key Project of Science and Technology of the Education Department of Henan Province(14A120009)； Supported by the Program of Young Scholar of the Peoples Republic of Henan Province China(2013GGJS-027)

摘要/Abstract

摘要： For a texture image, by recognizining the class of every pixel of the image, it can be partitioned into disjoint regions of uniform texture. This paper proposed a texture image classification algorithm based on Gabor wavelet. In this algorithm, characteristic of every image is obtained through every pixel and its neighborhood of this image. And this algorithm can achieve the information transform between different sizes of neighborhood. Experiments on standard Brodatz texture image dataset show that our proposed algorithm can achieve good classification rates.

关键词: texture image, Gabor wavelet, image classification

Abstract: For a texture image, by recognizining the class of every pixel of the image, it can be partitioned into disjoint regions of uniform texture. This paper proposed a texture image classification algorithm based on Gabor wavelet. In this algorithm, characteristic of every image is obtained through every pixel and its neighborhood of this image. And this algorithm can achieve the information transform between different sizes of neighborhood. Experiments on standard Brodatz texture image dataset show that our proposed algorithm can achieve good classification rates.

Key words: texture image, Gabor wavelet, image classification

中图分类号:

O174.22

邓未冰, 李海飞, 史亚莉, 杨晓慧. 基于Gabor小波的纹理图像分类[J]. 数学季刊, 2014, 29(2): 307-316.

DENG Wei-bing, LI Hai-fei, SHI Ya-li, YANG Xiao-hui. Texture Image Classification Based on Gabor Wavelet [J]. Chinese Quarterly Journal of Mathematics, 2014, 29(2): 307-316.

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基于Gabor小波的纹理图像分类

Texture Image Classification Based on Gabor Wavelet

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