搜索资源列表
GLCM--texture-extraction
- 对图像的纹理特征进行提取，主要基于灰度共生矩阵，然后计算二次统计量（即特征）-Texture features for image extraction, mainly based on gray level co-occurrence matrix, and then calculate the amount of secondary statistics (ie features)
GLCM
- 灰度共生矩阵用于纹理提取，GLCM texture features-Calculates texture features from the input GLCMs
horizontal
- 提取图像的GLCM矩阵，并计算出Haralick建议的14个特征值-Extract images GLCM matrix, and calculate the 14 Haralick features of the proposed values
GLCM
- 这个程序是用MATLAB编写得一个灰度共生矩阵特征及其一些参数得计算，希望对大家有用。-The MATLAB program is written, a GLCM features and some of the parameters was calculated, and I hope useful.
GLCM_Feature
- GLCM texture features calculator
graymatrix
- 灰度共生矩阵相关资料，包括生成灰度共生矩阵matlab代码，Matlab7工具箱中缺少的graycomatrix.m文件，以及一个通过灰度共生矩阵提取特征的matlab程序（共20多个特征），可以根据他的方法来从灰度共生矩阵中提取你需要的特征。-GLCM relevant information, including generating GLCM matlab code, Matlab7 toolbox graycomatrix.m missing documents, and a gray
Analysisoftexturefeatureextractedbygraylevelco2occ
- 为使灰度共生矩阵(GLCM)提取的特征值较好地表达纹理信息,对Brodatz纹理库图片进行了大量实验。 首先测试了各构造参数对关键特征统计量的影响,给出了特征值随参数变化的规律,确立了构造参数的合理取值 然 后测试了图像旋转和大小变化对所提取特征值的影响-In order to grayscale co-occurrence matrix (GLCM) features extracted texture to express the value of good information
Textural_defect_detection_based_on_label_co-occurr
- 基于类别共生矩阵的纹理疵点检测方法 邹超 朱德森 肖力 摘要：根据有规则纹理的特点，提出了基于类别的共生矩阵来描述纹理特征，从而很好地将正常纹理与疵点区分开。分析了传统的灰度共生矩阵在计算纹理特征时计算量大，且分辨能力差的缺点．为了克服灰度共生矩 阵在计算量和分辨能力上的缺点，定义了类别共生矩阵．在类别共生矩阵的算法中，首先学习纹理的一些基本特征以确定类别共生矩阵的一些关键参数。如纹理的概率密度分布、纹理的主方向和周期，以及分类准则等重要参数，然后计算类别共生矩阵并提取白疵点增强、黑疵
GraidFeature
- 基于matlab的纹理特征提取 基于灰度共生矩阵的纹理特征-Texture feature extraction based on matlab GLCM-based texture features
GLCM_Features1
- matlab code for glcm features
GLCM
- 这个程序是用MATLAB编写得一个灰度共生矩阵特征及其一些参数得计算，希望对大家有用。-The MATLAB program is written, a GLCM features and some of the parameters was calculated, and I hope useful.
GLCM_Features4
- glcm features for segmented inage
glcm
- This project is extracting GLCM features and do the images
GLCM+train
- 利用灰度共生矩阵提取图像特征。。。。。。(Extracting image features using gray level co-occurrence matrix)
GLCMFeatures
- he Gray Level Co-occurrence Matrix1 (GLCM) and associated texture feature calculations are image analysis techniques. in matab
GLCM
- a code for calculating Gray-Level Co-Occurrence Matrix (GLCM) of a picture
glcm
- 灰度共生矩阵用于提取图像的特征，用于图像识别和分类(Gray level co-occurrence matrix is used to extract the features of images, and is used for image recognition and classification)
GLCM
- 批量处理图片，提取主要的四个纹理特征（能量、熵、惯性矩、相关性），并存入向量内(Batch processing pictures, extract the main four texture features (energy, entropy, moment of inertia, correlation), and put them into the vector.)
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)
glcm
- Calculation for GLCM Features for an image dataset