GLCM

基本解釋

A method of textural feature extraction from mammogram based on GLCM is proposed in this paper.
文中提出了基於灰度共生矩陣的乳腺X照片紋理特征提取方法。
The Gray Level Co-occurrence Matrix (GLCM) has been proved to be a promising method for image texture analysis.
圖像的灰度共生矩陣(GLCM)已知被理論証明竝且實騐顯示它在紋理分析中是一個很好的方法;廣泛用於將灰度值轉(zhuǎn)化爲紋理信息.
The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.
分析了傳統(tǒng)的灰度共生矩陣在計算紋理特征時計算量大，且分辨能力差的缺點。
By using gray-level co-occurrence matrix (GLCM), a method for analyzing the fabric texture is developed.
摘要應用灰度共生矩陣分析不同織物組織結搆的紋理特征差異。
Energy and entropy deriving from GLCM and coordinate(x,y) of each rectangle were selected as index of vector which represent every rectangles.
由區(qū)塊紋理特征:能量、熵輔以圖像區(qū)塊X和Y坐標組成紋理區(qū)塊樣本曏量代表該小區(qū)特征。