搜索资源列表
GrayMatrix
- Visual C++ 实现的灰度共生矩阵-The Visual C++ implementation GLCM
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
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
- GLCM descr iptors with opencv 2.3.1 and C-GLCM descr iptors with opencv 2.3.1 and C++
GLCM
- 使用Opencv2.4.5求灰度共生矩阵，内含Matlab版纹理分析算法-Use Opencv2.4.5 seeking GLCM, containing Matlab version texture analysis algorithm
GLCM
- opencv实现灰度共生矩阵并求图像的几个纹理特征-opencv glcm实现灰度共生矩阵并求图像的几个纹理特征
GLCM
- GLCM纹理特征检测，包括熵，能量，对比度，一致性四个特征值-GLCM texture feature detection, including entropy, energy, contrast, uniformity four eigenvalues
glcm2
- 通过opencv计算图像的灰度共生矩阵，计算特征值-Image is computed by opencv GLCM calculating eigenvalues
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