GLCM

基本解释

A method of textural feature extraction from mammogram based on GLCM is proposed in this paper.
文中提出了基于灰度共生矩阵的乳腺X照片纹理特征提取方法。
The Gray Level Co-occurrence Matrix (GLCM) has been proved to be a promising method for image texture analysis.
图像的灰度共生矩阵(GLCM)已知被理论证明并且实验显示它在纹理分析中是一个很好的方法;广泛用于将灰度值转化为纹理信息.
The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
分析了传统的灰度共生矩阵在计算纹理特征时计算量大，且分辨能力差的缺点。
By using gray-level co-occurrence matrix (GLCM), a method for analyzing the fabric texture is developed.
摘要应用灰度共生矩阵分析不同织物组织结构的纹理特征差异。
Energy and entropy deriving from GLCM and coordinate(x,y) of each rectangle were selected as index of vector which represent every rectangles.
由区块纹理特征:能量、熵辅以图像区块X和Y坐标组成纹理区块样本向量代表该小区特征。