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texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的-co-occurrence matrix and GGCM extraction, is the more important Texture feature extraction methods, achieved using Matlab
texture
- 灰度共生矩阵提取图像纹理特征，采用matlab实现，包括模糊c均值实现分类
matrix
- matlab 求灰度共生矩阵,对数字图像处理的学习很有好处的。
texture_extraction
- 求灰度共生矩阵及其各要素用matlab实现
picturematlab
- 灰度共生矩阵和颜色自相关图矩阵的matlab实现的文档。
texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的
texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的
gray.rar
- Matlab中灰度共生矩阵函数
Texture
- 灰度共生矩阵 图像纹理特征提取 matlab语言编写-GLCM texture feature extraction matlab language
GLCM
- 灰度共生矩阵提取纹理特征，极快的MATLAB代码-GLCM texture feature extractionfast MATLAB code
graycomatrix
- 共生矩阵算法，用到matlab中的灰度共生矩阵相关函数。实现纹理特征计算。-matlab function for picture process.
ngldprops
- 邻接灰度共生矩阵（NGLDM）特征提取程序-Neighboring Gray-Level Dependence Matrix Feature Extraction
HUIDU
- 基于灰度直方图，对图像的纹理特征进行提取，根据灰度共生矩阵得到的四个纹理描述子。-Histogram based on image texture features were extracted, according to the four GLCM texture descr iptors obtained.
Texture-feature-code-matlab
- matlab最全纹理特征代码，灰度共生矩阵软件自带，就不传了。里面有tamura六个参数，灰度梯度共生矩阵的纹理特征，还有熵。-matlab the best texture feature code, the GLCM software comes not passed. Tamura six parameters, the shades of gray co-occurrence matrix texture features, as well as entropy.
matlab-feature-extraction
- 提取灰度共生矩阵的分类作用，有利于后续的人工神经网络的进行-To extract the classification of the gray level co-occurrence matrix, is advantageous to the subsequent artificial neural network
纹理特征提取matlab
- matlab实现灰度共生矩阵提取纹理特征统计量
Matlab
- 基于颜色和纹理特征的图像检索,聚类，颜色空间量化，灰度共生矩阵-Content-based image retri
MATLAB
- 图片常用纹理特征的提取方法集合，包括灰度共生矩阵，LBP,CABER等-the methods of texture feature extreation
纹理特征提取
- MATLAB实现图像纹理特征提取：自相关函数法、灰度共生矩阵、分数阶傅里叶变换。GUI界面。运行后可自定义自相关函数的x和y轴偏移，灰度共生矩阵的距离和角度，分数阶傅里叶变换的阶数。输出相应的特征图。(MATLAB realize image texture feature extraction: autocorrelation function method, gray co-occurrence matrix, fractional Fourier transform. GUI interf
GLCM
- 模式识别，纹理分析，灰度共生矩阵，统计图像的灰度共生矩阵进行纹理分析(Pattern recognition, texture analysis, gray level co-occurrence matrix, Texture analysis based on gray level co-occurrence matrix of statistical image)