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灰度共生矩阵纹理特征提取的Matlab实现 被引量:56

Implementation of Gray Level Co-occurrence Matrix Texture Feature Extraction Using Matlab
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摘要 图像的特征提取是图像的识别和分类、基于内容的图像检索、图像数据挖掘等研究内容的基础性工作,其中图像的纹理特征对描述图像内容具有重要意义,纹理特征提取已成为目前图像领域研究的热点。文中深入研究了基于灰度共生矩阵(GLCM)的纹理特征提取方法,给出了基于Matlab的简便实现代码,分析了共生矩阵各个构造参数对构造共生矩阵的影响。分析结果对优化灰度共生矩阵的构造、实现基于灰度共生矩阵(GLCM)的特定图像的纹理特征提取等都具有重要参考意义。 The texture feature extraction of image is a foundational work for image recognition and classification, content-based image re trieval ,image data mining, etc. The texture feature of image is significant for description of image content. And it is a hot topic in the re search of image now. The method of texture feature extraction based on gray level co-occurrence matrix (GLCM) was studied. Analyzed the effect of each parameter on constructing the co-occurrence matrix and implemented the feature extraction using Matlab. The analytical results provide valuable reference for creating GLCM better and extracting texture features of specific kinds of images.
出处 《计算机技术与发展》 2012年第11期169-171,175,共4页 Computer Technology and Development
基金 国家"十一五"计划课题(FIB070335-B8-04)
关键词 灰度共生矩阵 纹理特征 MATLAB gray level co-occurrence matrix texture feature Matlab
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