基于Gabor小波的纹理图像分类

邓未冰, 李海飞, 史亚莉, 杨晓慧

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

数学季刊 >

2014 , Vol. 29 >Issue 2: 307 - 316

DOI: https://doi.org/10.13371/j.cnki.chin.q.j.m.2014.02.022

基于Gabor小波的纹理图像分类

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

DENG Wei-bing(1978-), male, native of Pingdingshan, Henan, a lecturer of Henan University, engages in applied mathematics.

收稿日期: 2013-10-30

网络出版日期: 2023-04-10

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)

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Texture Image Classification Based on Gabor Wavelet

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

DENG Wei-bing(1978-), male, native of Pingdingshan, Henan, a lecturer of Henan University, engages in applied mathematics.

Received date: 2013-10-30

Online published: 2023-04-10

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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

本文引用格式

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

Abstract

Key words： texture image; Gabor wavelet; image classification

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