搜索资源列表
seimic_GLCM
- 三维地震图像信号灰度共生矩阵纹理提取，两个文件，一个是灰度共生矩阵，另一个是5中纹理属性。毕业设计副产品有效。-the texture feature extraction of 3D seismic image signals using GLCM.Two file,the first one is GLCM algorithm,another one is seismic texture attribute.A by-product of undergraduate thesis,and i
GUI-wenli
- gui界面做纹理分析，绝对可用~~包含灰度共生矩阵和Gabor小波分析-gui interface to do texture analysis, absolutely available ~~ contain GLCM and Gabor wavelet analysis
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.
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.
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
cooc3d
- 这是一个三维灰度共生矩阵的特征提取的代码-3D gray level co-occurrence matrix feature extraction
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
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
纹理特征提取matlab
- matlab实现灰度共生矩阵提取纹理特征统计量
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
guanxingjujisuan
- 根据图像的灰度共生矩阵计算各种特征值如惯性值用于图像纹理分析-computing the feature values of an image to study its texture
comatrix-texture
- 利用灰度共生矩阵实现纹理检测，很好的方法。-comatrix detect texture
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.
GrayMatrix
- 在MATLAB中，利用图像灰度共生矩阵提取图像特征，以供后续图像处理和分析-gray martix
GrayComatrix
- 灰度共生矩阵特征提取，代码可执行，返回特征值。模式识别用。-Gray level co-occurrence matrix
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.
f3
- 灰度共生矩阵中的相关性特性，可通过该特征来识别不同类型的疵点-Correlation of gray level co-occurrence matrix feature, but through this feature to identify the different types of defects
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