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cad_glcm_features
- Code to find GLCM. 15 features can be extracted.
Iuseit
- 灰度共生矩阵特征参数，对共生矩阵计算能量、熵、惯性矩、相关4个特征值。-The GLCM characteristic parameters
tezhengtiqu
- 在matlab中利用灰度共生矩阵提取图像的纹理特征，实现图像识别。-GLCM to extract image texture features of image recognition in matlab.
classification
- 基于主成分分析与灰度（颜色）、纹理（灰度共生矩阵）的图像分类matlab程序（附示例图像）。-Image classification matlab program based on principal component analysis and gray (color), texture (GLCM) (with sample images).
glcm-founder
- coding for merging of images of different resolution
gongshengjuzheng
- 用灰度共生矩阵提取五个纹理特征 包括：熵、均匀度、相关性、能量、对比度-Extraction of five GLCM texture characteristics，Include: entropy, uniformity, correlation, energy, contrast
meli
- i am student and i want glcm code in matlab
bufenshixianGLCM
- 灰度共生矩阵的一些实现代码，包括一些数字图像处理的部分代码-GLCM
huidu
- 基于灰度共生矩阵对图片进行计算，可以的到熵、相关性、逆差距、能量等值-Picture is calculated based on the GLCM can to entropy, correlation, inverse gap, the energy equivalent
statmoments
- 灰度共生矩阵提取图像纹理特征的需要，这里有部分纹理特征的提取程序代码。-GLCM the need to extract image texture features, part of the texture feature extraction code.
huidugongsheng
- 关于灰度共生矩阵的源代码，经测试，可以使用。-On GLCM source code, has been tested and can be used.
GLDM
- 基于灰度共生矩阵的纹理特征提取。特征参数为：熵，能量，-GLCM-based texture feature extraction. The characteristic parameters: entropy, energy,
graycopropswy
- 利用灰度共生矩阵提取SAR图像纹理特征，可提取：熵‘对比度、同质性、能量等特征。-GLCM to extract SAR image texture features can be extracted: entropy ' contrast, homogeneity, energy and other features.
GTTexturer
- 计算灰度共生矩阵的Matlab程序,参考《基于颜色空间和和纹理特征的图像检索》,输入图像数据,返回八维纹理特征行向量 -Computing to GLCM the Matlab program, the reference input color space and texture feature-based image retrieval, image data, return to the eight-dimensional texture feature row vector
T_Features
- 使用OPENCV实现的Tamura纹理特征，基于灰度共生矩阵的纹理特征-Use the OPENCV to achieve Tamura texture features based on GLCM texture features
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.
feature_extraction
- function [ff] = featurextraction(Broi,I), where Broi is a binary mask of the grayscale image I. The resut ff is a matrix containg the glcm and lbp features of the image I over the binary mask.
GGLCML
- 灰度共生矩阵用于纹理提取，GLCM texturee features ，经测试 -GLCM for texture extraction, GLCM texturee, features have been tested
glcm
- 利用灰度共生矩阵提取纹理特征图像，证明了灰度共生矩阵提取的纹理特征对图像分类精度起到了提高的作用-Gray Level Co-occurrence matrix extraction method is more important texture feature extraction method, using matlab realize the
glcm.py
- Grey level cooccurence matrix