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huidugongshengjuzhen
- 提取图像灰度共生矩阵的四个特征值能量，相关性，熵-Extract images GLCM four energy eigenvalues, correlation, entropy, etc.
8-(3)
- 利用灰度共生矩阵提取图像纹理特征值，然后根据熵值的大小来实现模块大小的选择。 另外，在寻找最佳匹配块时，同时考虑了颜色信息的差异和空间距离的因素。最后，给出了客观评价 图像修复质量的PSNR度量。实验表明，与Criminisi算法相比，该方法得到的修复效果更自然，更符合 人的视觉感知。 关键词：图像修复；纹理合-This paper firstly utilizes gray-level co-occurrence matrix to exti’act image s textu
Fabricdefect-feature-extraction-main
- 分析了目前织物疵点自动检测研究中特征提取的3 种主要算法:灰度 直方图法、灰度共生矩阵法及小波变换法。对3 种算法做了详细介绍，给出了具体的模型和公式，对3 种算法的研 究现状进行了阐述，详尽列出了近期相关的主要工作和研究进展 -Analysis of the current automatic fabric defect detection feature extraction in the study of three main algorithms: grayOf three ki
Texture
- 能够创建4个方向的灰度共生矩阵，并且计算能量、熵、对比度和相关性四种特征-Creating four directions can be achieved GLCM , and calculate the energy , entropy, contrast, and correlation characteristics of four kinds of mean
comatrix
- 遥感图像基于灰度共生矩阵的纹理特征统计，用matlab-Texture feature of remote sensing images based on gray level co-occurrence matrix
GLCM_Image-Retrieval
- 基于Matlab环境的利用灰度共生矩阵实现的图像检索算法-To realize the image retrieval algorithe based on gray-level co-occurrence matrix by using Matlab
co_occurrence
- matlab7.0上求灰度共生矩阵，解决7.0版本上没有grey函数的问题-Find GLCM on matlab7.0，No problem grey function solves 7.0
Texture-feature-extraction
- 由灰度共生矩阵提取常用特征，实现对图像纹理特征的分析-Extracted from the GLCM common characteristics, to achieve image texture features analysis
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
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
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
GLCM
- 灰度共生矩阵 提取纹理特征 vc6.0 -GLCM texture feature extraction
glcm
- 基于灰度共生矩阵的图像特征提取,包括熵、相关性、标准差及方差-Image feature extraction based on GLCM，including entropy, correlation, standard deviation and variance
FP_Segmentation
- 使用灰度共生矩阵实现的指纹分割算法,该算法有较强的鲁棒性-fingerprint segmentation using gray level co-occurrence matrix
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
ConsoleApp_texture
- 利用灰度共生矩阵提取图像纹理特征的一种算法实现。-An algorithm using gray level co-occurrence matrix of image texture feature extraction.
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
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