搜索资源列表
Texture
- matlab中，利用灰度共生矩阵实现目标区域中纹理检测，可以直接放心的使用-matlab, using GLCM Texture Detection achieve the target area, you can rest assured that the use of direct
matlabConjugate-matrix
- 很好的括计算共生矩阵、对共生矩阵归一化、对共生矩阵计算能量、熵、惯性矩的程序。-Well, including co-occurrence matrix calculation of co-occurrence matrix normalization on the co-occurrence matrix calculation of energy, entropy, moment of inertia of the program.
Textureas
- 这是灰度共生矩阵的matlab实现方法。-image processing gray level co-occurrence matrix
GrayShow
- visual c++ 工具 c语言 实现的灰度共生矩阵。-visual c++ tool c language GLCM.
Texture
- 适用于二维图像的共度共生矩阵纹理特征提取,尤其是在医学处理方向-Co-occurrence Matrix
co-occurrence-matrix
- 计算一幅图像的像素和右下一个像素的共生矩阵。-Calculate the co-occurrence matrix of an image.
GrayShow
- 基于灰度共生矩阵的图像纹理特征计算程序。-GLCM-based texture feature calculation procedure.
texton
- 基于基元共生矩阵的纹理特征提取。通过5个基本的方格来检测图像并生成图像的基元共生矩阵，并从矩阵中提取其纹理特征信息。-Texton occurrence matrix based texture feature extraction
ColoraTexture-Search
- 基于颜色和纹理的综合图像检索方法论文，图像部分采用颜色直方图方法，纹理部分采用灰度共生矩阵特征向量方法-Integrated based on color and texture image retrieval papers, part of the image using the color histogram method, part of the use GLCM texture feature vector approach
xiacaiyangPGLCM
- 程序主要实现了在下采样小波变换的基础上加入了灰度共生矩阵来实现图像纹理特征的提取- Program achieved a lower sampling based on wavelet transform GLCM added to achieve the image texture feature extraction
wenlitezheng
- 该程序是通过计算灰度共生矩阵来获得图像纹理特征的，获得的纹理特征可用于进一步对图像的融合、图像的分析等方面。-The procedure is done by calculating GLCM to get the image texture features, texture features obtained can be used to further the image fusion, image analysis and so on.
texture_matrix
- 图像处理中灰度共生矩阵纹理图像实现函数，能够直接调用-Image processing to achieve GLCM texture image function can be called directly
GrayGradinet
- 图像的一种纹理提取方法，采用灰度梯度共生矩阵，是简单方便的方法-An image texture extraction method, using gray-gradient co-occurrence matrix is a simple and convenient method
TextureFeatureExtraction
- 基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
TextureFeatureExtraction
- 基于灰度共生矩阵的纹理特征提取，输出为图像四个方向共十六个特征值-Gray-level co-occurrence matrix based texture feature extraction, the output image in four directions for a total of 16 eigenvalues
GrayGradinet
- 基于灰度共生矩阵计算熵值、相关性、能量、对比度-Calculate four directions on the GLCM, as well as angular second moment, entropy, contrast, uniformity
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
CPPGLCM
- 基于c++的灰度共生矩阵，并计算其特征值，很好的源码。-Based c++ GLCM, and calculate the eigenvalues, a good source.
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
testCV
- 叶子图像识别，运用纹理分析，共生矩阵。自行实现kmeans方法-Leaf image recognition, the use of texture analysis, co-occurrence matrix