搜索资源列表
dip
- matlab实现的图像识别代码 包括GDTM GGCM GLCM三种方法的比较
基于GLCM的纹理分类
- 纹理分类
vtex
- 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
GLCM--texture-extraction
- 对图像的纹理特征进行提取，主要基于灰度共生矩阵，然后计算二次统计量（即特征）-Texture features for image extraction, mainly based on gray level co-occurrence matrix, and then calculate the amount of secondary statistics (ie features)
Texture
- 灰度共生矩阵，通过4个方向计算4个特征值。-GLCM, 4 directions through the four characteristic values calculated.
Texture
- 灰度共生矩阵 图像纹理特征提取 matlab语言编写-GLCM texture feature extraction matlab language
Texture
- 计算图像灰度共生矩阵重要属性：能量 熵 惯性矩和相关性。-Calculate important properties GLCM image: the moment of inertia and entropy correlation energy.
hdgsh
- 灰度共生矩阵matlab 源码，仅供参考学习之用-GLCM matlab source code for reference purposes only learning to use
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
Gray-levelCo-occurrenceMatrix
- 本身为pdf文档，实际为灰度共生矩阵的源代码。运行环境为vc2008.-Pdf document itself, the actual to the source code of GLCM. Operating environment vc2008.
souceretrive
- 基于纹理的检索程序，实现了灰度共生矩阵检索-Very GOOD
GLCM_Features1
- matlab code for glcm features
GLCM
- a code for calculating Gray-Level Co-Occurrence Matrix (GLCM) of a picture
GLCM_Features1
- glcm feature matlab code
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
- 批量处理图片，提取主要的四个纹理特征（能量、熵、惯性矩、相关性），并存入向量内(Batch processing pictures, extract the main four texture features (energy, entropy, moment of inertia, correlation), and put them into the vector.)
GLCM
- Matlab code for GLcm function
GLCM
- this code is used GLCM as input for deeplearnng
glcm
- ??为了能更直观地以共生矩阵描述纹理状况，从共生矩阵导出一些反映矩阵状况的参数，典型的有以下几种(In order to describe the state of texture with a symbiotic matrix more intuitively, some parameters reflecting the matrix condition are derived from the symbiotic matrix, typical of the following sever
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