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suibaogei
- 经典的灰度共生矩阵纹理计算方法，复化三点Gauss-lengend公式求pi，包含收发两个客户端的链路级通信程序。- Classic GLCM texture calculation method, Complex of three-point Gauss-lengend the Formula pi, Contains two clients receive link-level communications program.
rdkvr
- 基于负熵最大的独立分量分析，经典的灰度共生矩阵纹理计算方法，多姿态，多角度，有不同光照。- Based on negative entropy largest independent component analysis, Classic GLCM texture calculation method, Much posture, multi-angle, have different light.
myGrayMatrix
- 8*8维灰度共生矩阵的matlab实现，注解非常详细，非常适合新手入门-8* 8 dimensional gray matrices matrix matlab implementation, annotations are very detailed, very suitable for novice entry
rwwep
- 经典的灰度共生矩阵纹理计算方法，抑制载波型差分相位调制，独立成分分析算法降低原始数据噪声。- Classic GLCM texture calculation method, Suppressed carrier type differential phase modulation, Independent component analysis algorithm reduces the raw data noise.
7373
- MIT人工智能实验室的目标识别的源码,经典的灰度共生矩阵纹理计算方法，matlab实现了五类灰色关联度模型的计算。- MIT Artificial Intelligence Laboratory identification of the target source, Classic GLCM texture calculation method, matlab implements five gray correlation degree computing model.
huikeng-V8.5
- 包括随机梯度算法，相对梯度算法，经典的灰度共生矩阵纹理计算方法，抑制载波型差分相位调制。- Including stochastic gradient algorithm, the relative gradient algorithm, Classic GLCM texture calculation method, Suppressed carrier type differential phase modulation.
ap664
- 最终的权值矩阵就是滤波器的系数，对于初学者具有参考意义，经典的灰度共生矩阵纹理计算方法。- The final weight matrix is ??the filter coefficient, For beginners with a reference value, Classic GLCM texture calculation method.
GLCM_Features1
- 这是一个GLCM 纹理特征提取的函数，可以支持zaimatlab上运行(Extracting GLCM texture feature)
纹理特征提取
- MATLAB实现图像纹理特征提取：自相关函数法、灰度共生矩阵、分数阶傅里叶变换。GUI界面。运行后可自定义自相关函数的x和y轴偏移，灰度共生矩阵的距离和角度，分数阶傅里叶变换的阶数。输出相应的特征图。(MATLAB realize image texture feature extraction: autocorrelation function method, gray co-occurrence matrix, fractional Fourier transform. GUI interf
GLCM
- 模式识别，纹理分析，灰度共生矩阵，统计图像的灰度共生矩阵进行纹理分析(Pattern recognition, texture analysis, gray level co-occurrence matrix, Texture analysis based on gray level co-occurrence matrix of statistical image)
GLCM
- 数字图像处理中对纹理的识别，灰度共生矩阵GLCM(image processing,texture features,GLCM)
参考文献
- 四种算法的织物疵点检测论文，LBP，灰度共生矩阵，直方图统计，Gabor滤波器(Four algorithms of fabric defect detection paper, LBP, grayscale symbiotic matrix, histogram statistics, Gabor filter)
基于支持向量机的图像分类
- classifier.mat文件太大未上传。可运行一次main3生成 getFeatures.m 获取灰度共生矩阵相关特征 main-main6 训练 + 识别 predict.m 单独的分类程序 temp.m 单独的分类演示程序(classifier.mat file is too large to upload. Can run a main3 to generate getFeatures.m Get the grayscale co-occurrence matrix rel
纹理特征提取
- 应用灰度共生矩阵求解纹理特征并用熵，相关性，惯性矩，能量，局部平衡等参数带有实例照片可以直接编译(Applying the grayscale symbiotic matrix to solve the texture features and using entropy, correlation, inertia moment, energy, local equilibrium and other parameters with example photos can be compiled
Feature_extraction
- 用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, disc
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
Texture feature extraction
- 灰度共生矩 阵即为灰度级的空间相关矩阵，以其为基础的统计方法通过对矩阵统计量的求取较好地提取到了纹理特征，通过选取关键参数编程并进行仿真实现，分别求取了四个方向的灰度共生矩阵及其特征量来分析图像 的纹理特征。(The gray level co-occurrence matrix is the gray level spatial correlation matrix. Based on the gray level co-occurrence matrix, the texture featu
新建文件夹
- 基于灰度共生矩阵的图像纹理特征提取，包括熵，能量，相关，均值，逆差矩等(Image texture feature extraction based on gray level co-occurrence matrix)
1纹理特征
- 对图像纹理特征进行提取，包括灰度共生矩阵、Lbp、小波等(Texture feature extraction of image, including gray level co-occurrence matrix, Lbp, wavelet and so on)
GLCM
- 灰度共生矩阵，可以提取均值、变化率纹理特征等等