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53607939
- 灰度共生矩阵，用C写的。 灰度共生矩阵，用C写的。 -about GLCM which is edited by vc. about GLCM which is edited by vc. about GLCM which is edited by vc. about GLCM which is edited by vc.
souceretrive
- 基于纹理的检索程序，实现了灰度共生矩阵检索-Very GOOD
C-Language
- C 语言图像处理代码大全，包括比较常用的算法。例如:阈值分割，边缘检测，直方图的计算，灰度共生矩阵的计算等等。-C-Code Complete, image processing, including the commonly used algorithms. For example: threshold segmentation, edge detection, histogram calculation, the calculation of GLCM and so on.
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
cxcx
- 用matlab实现灰度共生矩阵算法，并提取特征量-GLCM with matlab implementation algorithms, and the amount of extracted features
graymatrix
- IEEE文章和改进的灰度共生矩阵，结构统计方法，用来提取图像纹理特征-IEEE paper and Improved GLCM, the structure of statistical methods used to extract the image texture features
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
huidugongshengjuzhensuanfa
- 灰度共生矩阵算法 vc++实现 -GLCM algorithm vc++ Realize GLCM algorithm vc++ Realize
wenlifenxi
- 描述图像纹理分析的原理方法以及灰度共生矩阵的原理及实现方法-Describe the principle of image texture analysis methods, and GLCM principle and implementation method
Glcm-untitled
- 基于图像灰度共生矩阵的特征提取代码，程序实现0 45 90 135度4个方向的特征提取-GLCM based on image feature extraction code, the program achieved 04,590,135 degrees in four directions of the feature extraction
wenlituxiangtezhengtiqu
- 灰度共生矩阵反映了图像灰度关于方向、相邻间隔、变化幅度的综合信息，它可作为分析图像基元和排列结构的信息。作为纹理分析的特征量，往往不是直接应用计算的灰度共生矩阵，而是在灰度共生矩阵的基础上再提取纹理特征量。该段代码是对纹理特征的提取。-Gray symbiotic matrix reflects the image grey about the direction, and adjacent interval, change the amplitude of the comprehensive
灰度共生矩阵纹理
- 用滑动窗口中图像的灰度共生矩阵进行简单的2类纹理的分割.-sliding window of the gray image symbiotic matrix simple two types of texture segmentation.
灰度共生矩阵用于图像分类
- 灰度共生矩阵用于图像分类，仿真环境为matlab
GLCM+train
- 利用灰度共生矩阵提取图像特征。。。。。。(Extracting image features using gray level co-occurrence matrix)
grayco
- 用3*3邻域计算每一个像素的灰度共生矩阵并计算对应的特征参数，最后再选择特定目标区域内的像素，计算在目标区域内的像素所对应的特征参数的均值和方差(Calculation of characteristic parameters of each pixel gray level co-occurrence matrix and calculate the corresponding 3*3 neighborhood, then select the specific pixels within t
GLCM.tar
- 输入一张图片的mat矩阵，生成四个不同方向的灰度共生矩阵特征值！(Four gray co-occurrence matrix eigenvalues are generated in different directions)
4
- 基于灰度共生矩阵纹理特征的SAR图像分割 the SAR image segmentation based on gray level co-occurrence matrix texture feature(the SAR image segmentation based on gray level co-occurrence matrix texture feature)
5
- 基于空间灰度共生矩阵木材纹理分类识别的研究_王晗(based on spatial gray level co-occurrence matrix _ Wang Han wood texture classification recognition research)
GLCM method to extract features
- 实现灰度共生矩阵特征提取，对图像的纹理分析有用。(The gray level co-occurrence matrix feature extraction, useful for image texture analysis.)
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)