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Cloud-detection-
- 首先使用灰度共生矩阵提取图像纹理特征，之后使用灰度共生矩阵的熵值与相关性系数作为纹理参数，用k-means聚类算法实现遥感图像的云检测-First of all, the gray co-occurrence matrix is used to extract the image texture features, then the entropy and correlation coefficients of the GLCM are used as texture parameters, a
tingmiu_v15
- Classic GLCM texture calculation method, Relief computing classification weight, Convolution operation is intended to signal and image rendering.
miu_v56
- Implemented with SDRAM run nios, while saving camera data SRAM, FMCW frequency modulated continuous wave radar range and angular measurements, Classic GLCM texture calculation method.
GLCM.tar
- 输入一张图片的mat矩阵，生成四个不同方向的灰度共生矩阵特征值！(Four gray co-occurrence matrix eigenvalues are generated in different directions)
5118
- Classic GLCM texture calculation method, Is a good learning materials to learn PCA feature extraction, Decoupling, restore the original signal.
nacsq
- wolf calculated Lyapunov exponent, Complete codec LDPC code, Classic GLCM texture calculation method.
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
rc817
- In matlab R2009b debugging through, Dimensional phononic crystals FDTD method calculation examples band gap, Classic GLCM texture calculation method.
mc626
- wolf calculated Lyapunov exponent, Classic GLCM texture calculation method, Convolution operation is intended to signal and image rendering.
灰度共生矩阵GLCM
- 详细的基于纹理的图像分割算法 灰度共生矩阵实现代码，实现效果比较满意(Detailed texture based image segmentation algorithm, gray co-occurrence matrix implementation code, to achieve satisfactory results)
1
- To create a GLCM, use the graycomatrix function. The graycomatrix function creates a gray-level co-occurrence matrix (GLCM) by calculating how often a pixel with the intensity (gray-level) value i occurs in a specific spatial relationship to a pixel
GLCM method to extract features
- 实现灰度共生矩阵特征提取，对图像的纹理分析有用。(The gray level co-occurrence matrix feature extraction, useful for image texture analysis.)
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
- 该程序可以准确地计算图像的灰度共生矩阵中的各项数值。(it can calculate various parameters of Gray-level co-occurrence matrix for an image)
ARIMA-GRNN hybrid model
- this code for ann analysis which very usefull for remote sensing and image processing you can free download arima texture code
GLCM_Features1
- discriminative_texture_feature,discriminative,feature,texture_feature
fastGLCM
- Implementation of fast GLCM algorithm.
纹理
- matlab常用纹理特征提取方法（GLCM，GLDS，LBP，GMRF，FD，Gabor）
GLCM
- 灰度共生矩阵，可以提取均值、变化率纹理特征等等