搜索资源列表
GLCM-implement
- 实现了灰度共生矩阵，并应用到了几张图片上。 C++ 和OPENCV 代码。 图像处理-GLCM achieved and applied to a few pictures. C++ and OPENCV code. Image Processing
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-systerm-(1)
- 本系统是基于灰度共生矩阵的具体实现，本系统适合opencv的初学者，简单易用。-The concrete realization of the system is based on GLCM, the system is suitable for opencv beginners, easy-to-use.
opencvchengxu
- 特征提取，主要是灰度共生矩阵和不变矩特征提取的程序，openCV下可直接运行-Feature extraction, mainly GLCM and invariant moments feature extraction procedures can be run directly under openCV
GLG
- 布料疵病检测,灰度共生矩阵，图像预处理、分割，环境opencv-Cloth flaw detection, GLCM, image preprocessing, segmentation, environment opencv
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
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
- 运用Opencv实现图像四个方向纹理特征提取，输出每一个特征参数的对应数值-opencv image texture feature extraction
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