计算机应用与软件Issue(11)：190-192,325,4.DOI:10.3969/j.issn.1000-386x.2014.11.047
基于灰度共生矩阵的纹理提取方法研究
STUDY ON GLCM-BASED TEXTURE EXTRACTION METHODS
摘要
Abstract
With the enhancement of spatial resolution of remote sensing image, texture features play increasingly important role in remote sensing image.In the paper we study nine texture descriptors including gray level co-occurrence matrix ( GLCM) homogeneity, contrast, dissimilarity, angular second moment (asm), correlation, entropy, and gray level difference vector (GLDV) contrast, mean, angular second moment, etc., and find that both GLCM-asm and GLDV-asm are the more effective ways for texture extraction of the high resolution remote sensing image.关键词
纹理提取/灰度共生矩阵/特征参数/高分辨率遥感影像Key words
Texture extraction/Gray level co-occurrence matrix/Characteristic parameters/High resolution remote sensing image分类
信息技术与安全科学引用本文复制引用
任国贞,江涛..基于灰度共生矩阵的纹理提取方法研究[J].计算机应用与软件,2014,(11):190-192,325,4.基金项目
国家自然科学基金青年项目（41001294）。 （）
