Analysis of Image Texture Features Based on Gray Level Co-occurrence Matrix

被引：6

作者：

Chen, Ying ^{[1
]}

Yang, Fengyu ^{[1
]}

机构：

[1] Nanchang Hangkong Univ, Coll Software, Nanchang 330063, Peoples R China

来源：

PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING, PTS. 1-5 | 2012年 / 204-208卷

关键词：

Gray Level Co-occurrence Matrix; Texture Features; Image Analysis; Elements of Principal Diagonal;

D O I：

10.4028/www.scientific.net/AMM.204-208.4746

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Gray level co-occurrence matrix (GLCM) is a second-order statistical measure of image grayscale which reflects the comprehensive information of image grayscale in the direction, local neighborhood and magnitude of changes. Firstly, we analyze and reveal the generation process of gray level co-occurrence matrix from horizontal, vertical and principal and secondary diagonal directions. Secondly, we use Brodatz texture images as samples, and analyze the relationship between non-zero elements of gray level co-occurrence matrix in changes of both direction and distances of each pixels pair by. Finally, we explain its function of the analysis process of texture. This paper can provided certain referential significance in the application of using gray level co-occurrence matrix at quality evaluation of texture image.

引用

页码：4746 / 4750

页数：5

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