搜索资源列表
ExtractGLCM
- 灰度共生矩阵方法用来提供一幅图像的灰度共生矩阵值，然后送到分类器中进行分类-gray level co-occurrence matrix，a very important method of extracting features
haralick
- 再传一个计算haralick的灰度共生矩阵的14个特征值的程序-Re-transmission of a GLCM calculation haralick the characteristic values of 14 procedures
Texture-features
- matlab编写的用于实现灰度共生矩阵，灰度-梯度共生矩阵，灰度直方图，协方差系数，LOG滤波器的源代码了。全部经过测试，可以直接使用。对于做纹理分析很有帮助。一共有五个代码-matlab prepared for the realization of Gray Level Co-occurrence matrix, gray- gradient co-occurrence matrix, gray histogram, covariance coefficients, LOG source c
wenli
- 分析了纹理特征提取方法，特别是灰度共生矩阵的方法和 Gabo:小波矩的方法。并在这两种方法的基础上提出了综合灰度共生矩阵和 Gbaor小波矩的纹理特征提取方法并用于图像检索。 -matlab
graycomatrix
- 用matlab编程来提取图像的灰度共生矩阵-Extracting symbiotic matrix of the the image with matlab.GRAYCOMATRIX Create gray-level co-occurrence matrix
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.
graycomatrix
- 用MATLAB编写的灰度共生矩阵程序代码-matlab gravt level co-occurence matrix
Texture
- 计算灰度共生矩阵的Matlab程序,参考《基于颜色空间和纹理特征的图像检索》,输入图像数据,返回八维纹理特征行向量-A programm computing GLCM texture measurements.
hdgsh
- 灰度共生矩阵matlab 源码，仅供参考学习之用-GLCM matlab source code for reference purposes only learning to use
wenli
- 基于灰度共生矩阵的图像检索技术。完整的特征提取、特征描述、特征匹配以及结果返回。-GLCM-based image retrieval techniques. A complete feature extraction, feature descr iption, feature matching and the result returned.
GrayLevelCoMatrix
- 提取纹理特征参数,主要是灰度共生矩阵源代码，用于图像处理-gray level co-matrix source code,used for the image processing, to get the texture features
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
texture_GUI
- 此程序是基于灰度共生矩阵的图像纹理特征提取算法，它进行了四个方向上的灰度共生矩阵的计算，从而得出他们的纹理特征向量，再求均值，使计算进度大幅度提高-This program is based on the GLCM texture feature extraction algorithm, which was four directions GLCM calculation to arrive at their texture feature vector, and then seek mean
Haralick_region_growing
- 本程序实现基于Haralick灰度共生矩阵的区域增长在matlab下实现-Implementation of this program based on Haralick GLCM achieved under the regional growth in matlab
cxcx
- 用matlab实现灰度共生矩阵算法，并提取特征量-GLCM with matlab implementation algorithms, and the amount of extracted features
Gray-Level-Co-Occurrence-Matrix
- 基于OpenCV和VS2008的图像灰度共生矩阵特征提取实现。文件中还有matlab版本的-Images based on OpenCV and VS2008 GLCM feature extraction achieved. Matlab version of the file there
灰度共生矩阵用于图像分类
- 灰度共生矩阵用于图像分类，仿真环境为matlab
GLCM
- MATLAB纹理特征提取，用来提取灰度共生矩阵的4个特征(MATLAB texture feature extraction)
GongSheng
- % 图像检索——纹理特征 %基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵 %所用图像灰度级均为256 %参考《基于颜色空间和纹理特征的图像检索》(% image retrieval - texture features % based on co-occurrence matrix texture feature extraction, d=1, theta, =0 degrees, 45 degrees, 90 degrees, 135 degrees
GCLM
- 灰度共生矩阵特征提取以及hog特征提取matlab代码(Feature extraction of grayscale symbiotic matrix)