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- 提取图像的GLCM矩阵，并计算出Haralick建议的14个特征值-Extract images GLCM matrix, and calculate the 14 Haralick features of the proposed values
ImageRetrievalAlgorithm
- 文是一种基于灰度共生矩阵的图像相似性检索算法，首先将图像分成互不重叠的子图像块，根据子图像 块中像素间灰度差别重新设置每个像素的灰度值为0或l，然后将整个图像重新划分成子块，对子块编码，最后借 助共生矩阵提取的不同方向的特征值来检索图像的相似性。实验结果表明本文算法对图像相似性的检索比传统 方法GLCM、CCM更有效，且检索效率较高，更重要的是此算法还可以反应不同方向上图像的相似度。-Man is an image based on gray level co-occurrence
glcmfeaturext.
- glcm feature extraction for mammogram images
GrayMatrix
- 图像纹理特征描述了在图像中反复出现的局部模式和它们的排列规则，反应宏观意义上灰度变化的一些规律，编程实现基于灰度共生矩阵的图像纹理特征提取-Image texture features described in the repeated images of local models and their regular arrangement, the reaction intensity changes in the macro sense, some laws, programming, GL
Gray-Level-Co-Occurrence-Matrix
- 基于OpenCV和VS2008的图像灰度共生矩阵特征提取实现。文件中还有matlab版本的-Images based on OpenCV and VS2008 GLCM feature extraction achieved. Matlab version of the file there
000
- 支持向量机(svM)是一种新的机器学习技术。本文采用一对一方法构建多分类SVM 分类器。利用常用的灰度共生矩阵方法提取图像纹理特征，组成特征向量，输入构建好的SVM 多分类器中进行分类。对从Brodatz纹理库中选取的4张纹理图像进行了分类实验，取得较好的 分类结果-Support vector machine (svM) is a new machine learning techniques. In this paper, one way to build a multi-cla
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
texture
- 灰度共生矩阵提取图像纹理特征，可输入rgb图像，出来的结果较为清晰。带文字说明-GLCM texture features extracted images translate
huidugongshengjuzhen
- 提取图像灰度共生矩阵的四个特征值能量，相关性，熵-Extract images GLCM four energy eigenvalues, correlation, entropy, etc.
final-glcm
- glcm mean in matlab by armin moghimi devloped GLCM_Features1 helps to calculate the features from the different GLCMs that are input to the function. The GLCMs are stored in a i x j x n matrix, where n is the number of GLCMs calculated usually
GLMCandLBPextraction
- 第一个程序提取了图像灰度级为64的灰度共生矩阵，并计算了能量，熵，对比度，相关性，逆差矩这5个参数.第二个程序可以提取彩色图像的LBP纹理特征，可以提取采样点为8、16、24的统一模式（u2）、旋转不变模式（ri）、统一旋转不变模式（riu2）的LBP值。-The first program to extract a grayscale image GLCM 64, and calculate the energy, entropy, contrast, correlation, inverse
yuanma
- 对多幅图像读取，并求取GLCM的特征值，输出特征值文件-Read on multiple images and GLCM strike eigenvalues eigenvalues output file
mantlab
- 在matlab的gui中通过灰度共生矩阵对两张图片进行处理，特征提取，特征匹配，最终判定两张痕迹图片是不是出于同一工具造成-In the gui in matlab for two images by GLCM processing, feature extraction, feature matching, the final determination of two trace picture is not the cause for the same tool
glcm
- This project is extracting GLCM features and do the images
Fused-with-LBP-and-GLCM
- 这是一篇关于图像纹理特征提取的期刊，文中结合了LBP和GLCM两种基本的纹理算法，对于做纹理提取的同学有一定的帮助-This is a feature extraction of images on the image of the journal, the text of the combination of LBP and GLCM two kinds of basic texture algorithm, for the students to do texture extraction
glcm
- IDL实现遥感影像的灰度共生矩阵（GLCM）-IDL implement remote sensing images GLCM (GLCM)
test
- 将图像进行三层离散小波变换得到三幅高频图像，再利用function可利用灰度共生矩阵得到三幅高频图像的纹理特征-The image is three discrete wavelet transform three high-frequency images, re-use function can be used to obtain GLCM texture features three high-frequency image
glcm
- 灰度共生矩阵用于提取图像的特征，用于图像识别和分类(Gray level co-occurrence matrix is used to extract the features of images, and is used for image recognition and classification)
GLCM-OpenCV-master
- 由于纹理是由灰度分布在空间位置上反复出现而形成的，因而在图像空间中相隔某距离的两象素之间会存在一定的灰度关系，即图像中灰度的空间相关特性。灰度共生矩阵就是一种通过研究灰度的空间相关特性来描述纹理的常用方法。 Gray-level co-occurrence matrix from an image 图像的灰度共生矩阵(Because the texture is formed by the repeated appearance of the gray distribution in the