搜索资源列表
dip
- matlab实现的图像识别代码 包括GDTM GGCM GLCM三种方法的比较
基于GLCM的纹理分类
- 纹理分类
vtex
- 基于图像灰度共生矩阵的特征提取代码，程序实现0 45 90 135度4个方向的特征提取-GLCM based on image feature extraction code, the program achieved 04,590,135 degrees in four directions of the feature extraction
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)
Texture
- 灰度共生矩阵，通过4个方向计算4个特征值。-GLCM, 4 directions through the four characteristic values calculated.
Texture
- 灰度共生矩阵 图像纹理特征提取 matlab语言编写-GLCM texture feature extraction matlab language
Texture
- 计算图像灰度共生矩阵重要属性：能量 熵 惯性矩和相关性。-Calculate important properties GLCM image: the moment of inertia and entropy correlation energy.
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
GLCM
- opencv实现灰度共生矩阵并求图像的几个纹理特征-opencv glcm实现灰度共生矩阵并求图像的几个纹理特征
GLCM
- GLCM纹理特征检测，包括熵，能量，对比度，一致性四个特征值-GLCM texture feature detection, including entropy, energy, contrast, uniformity four eigenvalues
GLCM-Texture-extraction
- 灰度共生矩阵提取图像纹理特征，包括对比度、熵等等。-GLCM extract image texture features, including contrast, entropy and so on.
GLCM
- 提取灰度共生矩阵的纹理特征的代码，全部14个特征值的计算都有-GLCM extract texture feature code to calculate all eigenvalues have 14
GLCM
- 运用灰度共生矩阵提取织物表面特征值进行织物瑕疵识别和处理-GLCM to extract characteristic values of the fabric surface defects identified and processed fabrics
glcm
- IDL实现遥感影像的灰度共生矩阵（GLCM）-IDL implement remote sensing images GLCM (GLCM)
GLCM
- 灰度共生矩阵建立在估计图像的一阶组合条件概率密度函数的基础上, 其通过计算图像中有一定距离和一定方向的两点之间灰度的相关性, 反映图像在方向、间隔、变化幅度及快慢上的综合信息。-The GLCMs are stored in a i x j x n matrix, where n is the number of GLCMs calculated usually due to the different orientation and displacements used in the alg
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)
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
- ??为了能更直观地以共生矩阵描述纹理状况，从共生矩阵导出一些反映矩阵状况的参数，典型的有以下几种(In order to describe the state of texture with a symbiotic matrix more intuitively, some parameters reflecting the matrix condition are derived from the symbiotic matrix, typical of the following sever
GLCM-OpenCV-master
- 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象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。灰度共生矩阵就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。 Gray-level co-occurrence matrix from an image 图像的灰度共生矩阵(Because the texture is formed by the repeated appearance of the gray distribution in the