搜索资源列表
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.
GLCMhePSI
- 图像纹理特征提取算法：灰度共生矩阵、像元形状指数-Texture feature extraction algorithm: GLCM, pixel shape index. .
comatrix
- 遥感图像基于灰度共生矩阵的纹理特征统计，用matlab-Texture feature of remote sensing images based on gray level co-occurrence matrix
Texture-feature-extraction
- 由灰度共生矩阵提取常用特征，实现对图像纹理特征的分析-Extracted from the GLCM common characteristics, to achieve image texture features analysis
wenlitezhneg
- 基于灰度共生矩阵的纹理特征提取 用Matlab仿真实现-based on GLCM
bp_network
- 对两种类型的纹理图像，各选取30幅，计算灰度共生矩阵，提取特征向量；构件BP神经网络分类器，用每种类型的前20幅对分类器进行训练，后10幅用来测试分类效果。-Two types of texture image for each select 30 calculated GLCM, extracting feature vectors member BP neural network classifier, before use each type of 20 pairs classifier
GLCM
- 灰度共生矩阵 提取纹理特征 vc6.0 -GLCM texture feature extraction
GLMCandLBPextraction
- 第一个程序提取了图像灰度级为64的灰度共生矩阵，并计算了能量，熵，对比度，相关性，逆差矩这5个参数.第二个程序可以提取彩色图像的LBP纹理特征，可以提取采样点为8、16、24的统一模式（u2）、旋转不变模式（ri）、统一旋转不变模式（riu2）的LBP值。-The first program to extract a grayscale image GLCM 64, and calculate the energy, entropy, contrast, correlation, inverse
ConsoleApp_texture
- 利用灰度共生矩阵提取图像纹理特征的一种算法实现。-An algorithm using gray level co-occurrence matrix of image texture feature extraction.
Texture
- 图像基于统计的纹理特征，包括灰度分布统计，灰度共生矩阵属性。可用于纹理特征提取-Image texture features based on statistics, including the gray distribution statistics, GLCM property. Can be used for texture feature extraction
image-texture-features
- 图像纹理特征提取，包括分形维数，灰度游程长度，灰度共生矩阵等五种图像纹理特征。-To extract image texture features, including fractal dimension, length of gray-level run-length, gray level co-occurrence matrix and other five kinds of image texture features。
Texture
- 基于灰度共生矩阵的图像纹理特征提取，所采用的默认为灰度图像，提取了0 45 90 135四个矩阵-texture feature based GLCM
GLCM
- 计算图像的灰度共生矩阵，并基于该矩阵得到14个纹理特征-feature extraction based on GLCM
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.
glcm24
- Matlab实现灰度共生矩阵算法，0,45,90,135四个方向的，每个方向各6个特征，因而一幅图像总共24个特征。在图像纹理识别方面挺有效。-Matlab implementation of the gray level co-occurrence matrix algorithm, 0,45,90135 four directions, each direction of the 6 characteristics, and thus a total of 24 images of the
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
GMCL1
- opencv基于纹理特征提取的灰度共生矩阵，效果还比错 可以参考-Opencv based texture feature extraction of the gray level co-occurrence matrix, the effect is also better than the wrong reference
GLCM_Features1
- 灰度共生矩阵提取纹理特征量的程序，能够提取四种主要的特征量包括 能量 熵 对比度 相关性 以及他们的标准差 可以作为输入向量来识别分类图像-detect the features of texture based on GLCM
Texture_seg
- 使用纹理特征对图像进行分割，使用两种纹理提取方法：灰度共生矩阵与灰度直方图求均值方差、熵和能量。-Use of texture features for image segmentation, texture extraction using two methods: GLCM and histogram averaging variance, entropy and energy.
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.