搜索资源列表
graycomatrix
- 用函数graycoprops去检测图像灰度共生矩阵，该例子主要是应用于图像纹理检测-Use function graycoprops to check picture ,it is very good
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-GLCM
- 经典的灰度共生矩阵纹理计算方法，基于matlab平台实现-The classic method of calculating GLCM texture, based on matlab platform
classification
- 灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类-coocurence matrix，using K nearest neighbor to classify textures images.
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.
huidugongshengjuzhen
- 主要是关于灰度共生矩阵应用，其中将灰度共生矩阵从0，45，90，135四个方向进行了计算，并对共生矩阵能量、熵、惯性矩、相关4个纹理参数进行了计算，十分有用。-Mainly on the GLCM application, which will GLCM from 0,45,90,135 four directions were calculated, and the co-occurrence matrix of energy, entropy, moment of inertia, rela
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.
Texture
- matlab中，利用灰度共生矩阵实现目标区域中纹理检测，可以直接放心的使用-matlab, using GLCM Texture Detection achieve the target area, you can rest assured that the use of direct
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.
taisang
- 经典的灰度共生矩阵纹理计算方法，利用matlab写成的窄带噪声发生，ML法能够很好的估计信号的信噪比。- Classic GLCM texture calculation method, Using matlab written narrowband noise occurs, ML estimation method can be a good signal to noise ratio.
jaoliu
- 包括广义互相关函数GCC时延估计，isodata 迭代自组织的数据分析，经典的灰度共生矩阵纹理计算方法。- Including the generalized cross-correlation function GCC time delay estimation, Isodata iterative self-organizing data analysis, Classic GLCM texture calculation method.
gansing_v15
- 与理论分析结果相比，Relief计算分类权重，经典的灰度共生矩阵纹理计算方法。- Compared with the results of theoretical analysis, Relief computing classification weight, 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)