搜索资源列表
GLCM
- 灰度共生矩阵提取纹理特征，极快的MATLAB代码-GLCM texture feature extractionfast MATLAB code
texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵提取纹理特征，用matlab实现的-Graylevel co-occurrence matrix and grayscale gradient co-occurrence matrix extraction means
HUIDU
- 基于灰度直方图，对图像的纹理特征进行提取，根据灰度共生矩阵得到的四个纹理描述子。-Histogram based on image texture features were extracted, according to the four GLCM texture descr iptors obtained.
GLCM
- 计算图像的灰度共生矩阵，并且提取图像的纹理特征-Computing image s GLCM and extracting texture characteristics
GLCM-method-to-extract-features
- 基于灰度共生矩阵提取图像纹理特征，FC为生成的特征向量-This is a method to extract features from an image by GLCM
gongshengjuzheng
- 用灰度共生矩阵提取五个纹理特征 包括：熵、均匀度、相关性、能量、对比度-Extraction of five GLCM texture characteristics，Include: entropy, uniformity, correlation, energy, contrast
coocurrence
- 纹理特征提取的matlab源代码，用灰度共生矩阵做的，最终得到一个8维的纹理特征向量。-Texture feature extraction matlab source code, the GLCM do eventually get an 8-dimensional texture feature vector.
grayfeature
- 使用灰度共生矩阵提取图像的纹理特征，通过提取的特征来表示一副图像，最终每幅图像被表示为51维的一维向量。-Use GLCM texture features extracted image feature extraction is represented by an image, and ultimately each image is represented as a one-dimensional vector of 51 dimensions.
texture-feature
- 从图片中提取四种不同纹理特征，包括gabor、灰度共生矩阵、灰度直方图、灰度梯度共生矩阵纹理特征。-Four different texture features extracted the image, including gabor, GLCM, histogram, GGCM texture.
纹理特征提取matlab
- matlab实现灰度共生矩阵提取纹理特征统计量
qaineng_v23
- matlab开发工具箱中的支持向量机，小波包分析提取振动信号中的特征频率，经典的灰度共生矩阵纹理计算方法。- matlab development toolbox support vector machine, Wavelet packet analysis to extract vibration signal characteristic frequency, Classic GLCM texture calculation method.
fengjui_v39
- 欢迎大家下载学习，包含特征值与特征向量的提取、训练样本以及最后的识别，经典的灰度共生矩阵纹理计算方法。- Welcome to download the study, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Classic GLCM texture calculation method.
fanlun_v37
- 小波包分析提取振动信号中的特征频率，经典的灰度共生矩阵纹理计算方法，可实现对二维数据的聚类。- Wavelet packet analysis to extract vibration signal characteristic frequency, Classic GLCM texture calculation method, Can realize the two-dimensional data clustering.
jengping
- 经典的灰度共生矩阵纹理计算方法，D-S证据理论数据融合，结合PCA的尺度不变特征变换(SIFT)算法。- Classic GLCM texture calculation method, D-S evidence theory data fusion, Combined with PCA scale invariant feature transform (SIFT) algorithm.
nunfai
- 经典的灰度共生矩阵纹理计算方法，一个师兄的毕设，是学习PCA特征提取的很好的学习资料。- Classic GLCM texture calculation method, A complete set of brothers, Is a good learning materials to learn PCA feature extraction.
pannen
- 用于特征降维，特征融合，相关分析等,经典的灰度共生矩阵纹理计算方法，可以提取一幅图中想要的目标。- For feature reduction, feature fusion, correlation analysis, Classic GLCM texture calculation method, Target can be extracted in a picture you want.
singpiu_v72
- 经典的灰度共生矩阵纹理计算方法，用于信号特征提取、信号消噪，双向PCS控制仿真。- Classic GLCM texture calculation method, For feature extraction, signal de-noising, Two-way PCS control simulation.
hing_kr81
- 用于图像处理的独立分量分析，经典的灰度共生矩阵纹理计算方法，包含特征值与特征向量的提取、训练样本以及最后的识别。- Independent component analysis for image processing, Classic GLCM texture calculation method, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition
cw630
- 是学习PCA特征提取的很好的学习资料，插值与拟合，解方程，数据分析，经典的灰度共生矩阵纹理计算方法。- Is a good learning materials to learn PCA feature extraction, Interpolation and fitting, solution of equations, data analysis, 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)