搜索资源列表
灰度共生矩阵
- 灰度共生矩阵MATLAB实现 联合概率矩阵法是对图像的所有像素进行统计调查，以便描述其灰度分布的一种方法。
灰度共生矩阵提取纹理特征
- 灰度共生矩阵提取纹理特征
使用matlab求图像的灰度共生矩阵的程序
- 使用matlab求图像的灰度共生矩阵的程序，很好用,Using matlab for image co-occurrence matrix of gray-scale procedure, a very good use
MATLAB.rar
- 自己现在在做的论文用到灰度共生矩阵，找了好久都没找到很好用的，所以自己就编了个，不很完美，但绝对可用，已经实现过。包括灰度共生矩阵的生成以及一些特征参数。f1，二阶距。f2，对比度。f3，相关。f5，逆差距。f6，和平均。f7，和方差。f9，差平均。f10，差方差。请不吝赐教。,Now do their own papers in the gray co-occurrence matrix used to find for a long time to find no good use, so
GLCM
- 灰度共生矩阵用于纹理提取，GLCM texture features-Calculates texture features from the input GLCMs
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.
gray_matix
- 灰度共生矩阵提取图像特征 然后对图像分类-Gray-scale extraction of image feature co-occurrence matrix of image classification and then
fdgsjz
- 灰度共生矩阵代码包，里面包括两个灰度共生矩阵程序的源代码，请大家要用的，下载试试，评价！-Gray-level co-occurrence matrix code package, which includes procedures for both gray level co-occurrence matrix of the source code, please use the U.S., try to download, evaluation!
textureextraction
- 灰度共生矩阵和灰度梯度共生矩阵纹理提取，能够计算纹理的多个测度-Gray Level Co-occurrence matrix and gray-gradient co-occurrence matrix texture extraction
huidugongshengjuzhen
- 基于灰度共生矩阵的医学图像处理的分割应用，使用MATLAB环境-hui du gong sheng ju zhen
81404598texture4
- 这是基于灰度共生矩阵提取纹理特征重要参数的代码-This is based on gray level co-occurrence matrix texture features extracted the important parameters of the code
dx-4.4.4.tar
- 图像的纹理特征参数的灰度共生矩阵的计算，该方法效果好，速度快，易理解。-The image texture characteristic parameters GLCM calculation, the method effective, fast, easy to understand.
gongsheng_standardized
- 灰度图像处理程序 包括两个程序 一个是用来提取灰度共生矩阵，第二个用来对灰度图像进行均方差标准化，提高图像强度 -Gray-scale image processing program includes two programs are used to extract a gray level co-occurrence matrix, the second gray-scale images were used to standardize variance and improve the
graymatrix
- IEEE文章和改进的灰度共生矩阵，结构统计方法，用来提取图像纹理特征-IEEE paper and Improved GLCM, the structure of statistical methods used to extract the image texture features
灰度共生矩阵特征提取应用
- 基于VS2010平台和openCV实现的基于灰度共生矩阵特征提取木材表面缺陷(Extraction of wood surface defects based on Grey co-occurrence matrix)
灰度共生矩阵
- 图像处理，灰度共生矩阵。已知被理论证明并且实验显示它在纹理分析中是一个很好的方法,广泛用于将灰度值转化为纹理信息(Image processing, gray level co-occurrence matrix. Known to have been proved by theory, and experiments show that it is a good method in texture analysis, and is widely used to transform gray v
灰度共生矩阵
- 遥感图像处理，研究灰度的空间相关特性来描述纹理的常用方法，编程实现(Remote sensing image processing.Study the spatial correlation characteristics of grayscale to describe the texture of the commonly used methods. Programming implementation.)
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)
灰度共生矩阵
- 讲解如何用matlab去制作灰度共生矩阵(Explain how to use matlab to make grayscale symbiotic matrix)
灰度共生矩阵
- 灰度共生矩阵，指的是一种通过研究灰度的空间相关特性来描述纹理的常用方法。 [1] 1973年Haralick等人提出了用灰度共生矩阵来描述纹理特征。 由于纹理是由灰度分布在空间位置上反复出现而形成的，因而在图像空间中相隔某距离的两像素之间会存在一定的灰度关系，即图像中灰度的空间相关特性。(Gray-level co-occurrence matrix refers to a common method for describing texture by studying the spatia