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灰度共生矩阵提取纹理特征
- 灰度共生矩阵提取纹理特征
共生矩阵
- 基于灰度共生矩阵的图像检索：用灰度共生矩阵提取图像的纹理特征进行检索-Gray symbiotic matrix based Image Retrieval : Gray symbiotic matrix extract the texture characteristics Search
texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的-co-occurrence matrix and GGCM extraction, is the more important Texture feature extraction methods, achieved using Matlab
SGLDMatrix
- 灰度空间共现矩阵(SGLD)是著名的提取目标纹理的特征，已经成功地应用于人脸检测等计算机视觉中。大家可研究此MAtlab代码，在实用中转化为C代码使用。-Gray is a total space matrix (SGLD) is a well-known goal of extracting texture characteristics, has been successfully applied to the face detec
texture
- 灰度共生矩阵提取图像纹理特征，采用matlab实现，包括模糊c均值实现分类-Gray-level co-occurrence matrix texture features extracted images using matlab realize, including the realization of fuzzy c-means classification
texturefeature
- 纹理特征提取算法，灰度共生矩阵源代码，给出了0度45度90度和135度的矩阵-Texture feature extraction algorithm, gray level co-occurrence matrix source code, gives 0 degrees 45 degrees 90 degrees and 135 degrees of the matrix
TextureAnlysis
- TextureAnlysis.m实现遥感图像的纹理分析，以 方向邻域内的灰度均值 和 灰度共生矩阵的熵 作为纹理特征，使用k-means聚类。-TextureAnlysis.m the realization of remote sensing image texture analysis to the direction of the gray-scale neighborhood of the mean and the entrop
Texture
- 计算四个方向的灰度共生矩阵，将其作为纹理特征，是一种纹理特征提取算法。-Calculation of the four directions of Gray Level Co-occurrence matrix as texture features, is a kind of texture feature extraction algorithm.
ImageComatrix
- 灰度共生矩阵是图像处理中特征提取的纹理特性的一个重要参量，该程序实现2-D灰度图像的共生矩阵的计算-Gray-level co-occurrence matrix is the image processing feature extraction of texture characteristics of an important parameter, the program realize 2-D gray-scale image
graycomatrix
- 利用VC实现了灰度共生矩阵的纹理特征提取.-Use of VC realize the gray co-occurrence matrix texture feature extraction.
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
- 灰度共生矩阵、灰度梯度共生矩阵提取纹理特征-Gray Level Co-occurrence matrices, gray-gradient co-occurrence matrix texture features extracted
texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的-Gray Level Co-occurrence matrix and gray-gradient co-occurrence matrix extraction method is more important texture feature extraction method, using matlab realize the
texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的-Gray Level Co-occurrence matrix and gray-gradient co-occurrence matrix extraction method is more important texture feature extraction method, using matlab realize the
Texture
- 由灰度共现矩阵提取纹理特征：能量，惯性矩，相关性，熵，有完整的交互界面-By the gray co-occurrence matrix texture features extraction: energy, moment of inertia, relevance, entropy, there is a complete interface
wenli
- 分析了纹理特征提取方法，特别是灰度共生矩阵的方法和 Gabo:小波矩的方法。并在这两种方法的基础上提出了综合灰度共生矩阵和 Gbaor小波矩的纹理特征提取方法并用于图像检索。 -matlab
dx-4.4.4.tar
- 图像的纹理特征参数的灰度共生矩阵的计算，该方法效果好，速度快，易理解。-The image texture characteristic parameters GLCM calculation, the method effective, fast, easy to understand.
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)
灰度差分统计GLDS
- 灰度差分统计GLDS实现代码，多次测试，效果比较满意(Gray difference statistics GLDS implementation code, many tests, the effect is satisfactory)
灰度共生矩阵
- 灰度共生矩阵，指的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。 [1] 1973年Haralick等人提出了用灰度共生矩阵来描述纹理特征。 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像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。(Gray-level co-occurrence matrix refers to a common method for describing