搜索资源列表
image-proses-Demo
- 图像处理 vc++实现 ，处理灰度图，彩色图处理，包括旋转，缩放，滤波，特征提取，模板匹配，灰度共生矩阵 等-Vc++ image processing implementation, processing grayscale, color image processing, including rotation, scaling, filtering, feature extraction, template matching, gray level co-occurrence matrix,
Texture-feature-code-matlab
- matlab最全纹理特征代码，灰度共生矩阵软件自带，就不传了。里面有tamura六个参数，灰度梯度共生矩阵的纹理特征，还有熵。-matlab the best texture feature code, the GLCM software comes not passed. Tamura six parameters, the shades of gray co-occurrence matrix texture features, as well as entropy.
GGLCML
- 灰度共生矩阵用于纹理提取，GLCM texturee features ，经测试 -GLCM for texture extraction, GLCM texturee, features have been tested
GLCMfengetuxiang
- 使用灰度共生矩阵的方式（GLCM）对图像进行分割-Use the way of gray level co-occurrence matrix (GLCM) for image segmentation
huidu
- 灰度共生矩阵提取纹理特征可用于图像纹理特征提取-GLCM texture
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. .
GLCM
- 灰度共生矩阵 提取纹理特征 vc6.0 -GLCM texture feature extraction
glcm
- 基于灰度共生矩阵的图像特征提取,包括熵、相关性、标准差及方差-Image feature extraction based on GLCM，including entropy, correlation, standard deviation and variance
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
opencvchengxu
- 特征提取，主要是灰度共生矩阵和不变矩特征提取的程序，openCV下可直接运行-Feature extraction, mainly GLCM and invariant moments feature extraction procedures can be run directly under openCV
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.
GLCM
- 基于matlab 提取纹理灰度共生矩阵 源代码-Based on the co-occurrence matrix matlab source code to extract the texture of gray
GLG
- 布料疵病检测,灰度共生矩阵，图像预处理、分割，环境opencv-Cloth flaw detection, GLCM, image preprocessing, segmentation, environment opencv
huidugongsheng
- 这是数字图像处理中灰度共生矩阵的代码的实现。-This is the digital image processing code GLCM.
glcmaa1
- 标准的GLCM纹理分析往往没有得到好的结果，除非大量使用全局类（使用大量的类，带来其他问题）。使用本地类可以帮助，但结果对噪声很敏感。本程序采用加权区域采样大大提高全局和局部灰度共生矩阵纹理分析的结果。-Standard GLCM texture analysis is often not good , except for a large number of global classes (which use a large number of classes to bring other p
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)
grayco
- 用3*3邻域计算每一个像素的灰度共生矩阵并计算对应的特征参数，最后再选择特定目标区域内的像素，计算在目标区域内的像素所对应的特征参数的均值和方差(Calculation of characteristic parameters of each pixel gray level co-occurrence matrix and calculate the corresponding 3*3 neighborhood, then select the specific pixels within t
5
- 基于空间灰度共生矩阵木材纹理分类识别的研究_王晗(based on spatial gray level co-occurrence matrix _ Wang Han wood texture classification recognition research)
glcm
- 基于SKimage的库函数，实现了求解灰度共生矩阵并计算想应特征统计量(Gray-level Co-occurrence Matrix)