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wenlitezhneg
- 基于灰度共生矩阵的纹理特征提取 用Matlab仿真实现-based on GLCM
Demo.Bab5.GLCMGUI
- GLCM Feature Extraction
GA_feature_selector
- glcm feature exractiont
graycomatrix
- entropia at glcm glcm-entropia at glcm glcm glcm
GLCM
- Matlab实现灰度共生矩，有两个文件，一个执行函数，一个函数-Matlab implementation of the gray level co-occurrence matrix
MotifOriginal
- 基于形状的灰度共生矩阵的图像检索，利用基元扫描图像-Shape-based image retrieval GLCM, using primitive scanned image
GLCM
- 基于内容的图像检索技术利用方块编码提取特征，计算相似性-The use of block-based image retrieval techniques to extract features encoded content, calculate the similarity
texture-feature-extraction
- Texture detection using GLCM. GLCM describes four properties known as contrast, correlation, energy and homogeneity.
brain-image
- 采用反向传播神经网络的方法，提取GLCM特征及灰度特征等，进而分析脑组织密度，以判别是否发生病变-brain image processing
bp_network
- 对两种类型的纹理图像，各选取30幅，计算灰度共生矩阵，提取特征向量；构件BP神经网络分类器，用每种类型的前20幅对分类器进行训练，后10幅用来测试分类效果。-Two types of texture image for each select 30 calculated GLCM, extracting feature vectors member BP neural network classifier, before use each type of 20 pairs classifier
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
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
04410993program2
- 图像检索涉及到的纹理检索，灰度共生矩阵法对其进行研究。-Texture Image Retri involves retri , GLCM method to study it.
Texture
- 图像基于统计的纹理特征，包括灰度分布统计，灰度共生矩阵属性。可用于纹理特征提取-Image texture features based on statistics, including the gray distribution statistics, GLCM property. Can be used for texture feature extraction
vesel
- simultaneous true vessel enhancment using GLCM features
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
graycomatrix
- 自编的灰度共生矩阵程序，已经运行过了，可以使用-Self GLCM program has been run, you can use
texture
- 可以很好地提取纹理特征，是计算共生举证提取纹理特征最有效的方法。-it can grab the texture features well,and it is the best way to grab the texture features via calculating the GLCM.
glcm_1
- GLCM feature for image segmentation
glcm
- This program calculates the texture features of a given image based on the grey level co-occurences. Instead of creating a matrix of the co-occurences (GLCMs), this program implements -This program calculates the texture features of a given im