摘要
纹理特征是图像分析的重要线索,纹理特征的提取方法层出不穷,本文重点介绍了几种借助纹理统计特性的提取方法,并对其算法进行了比较。这些方法包括:1、基于图像灰度直方图的特征提取;2、基于图像灰度差值直方图的特征提取;3、基于图像灰度共生矩阵的特征提取。
Texture feature is an important clue of image analysis. There are many ways to extract texture features. This paper introduces several methods which depend on the statistical characters of texture, and compares their arithmetics. These methods includes： first, feature extracting based on the gray histogram of images; second, feature extracting based on the gray difference histogramof images; third, feature extracting based on the co - occurrence matrices of images.
出处
《中国传媒大学学报（自然科学版）》
2006年第1期49-52,共4页
Journal of Communication University of China：Science and Technology
关键词
纹理
纹理特征
特征提取
灰度共生矩阵
Texture
Texture Features
Features Extracting
Co - occurrence Matrices
