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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
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
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
gray_co-occurrence_matrix_dll
- 灰度共生矩阵特征提取算法动态库，可用于提取灰度共生矩阵特征-Gray-level co-occurrence matrix feature extraction algorithm for the dynamic libraries can be used to extract gray-level co-occurrence matrix features of
wenli
- 基于灰度共生矩阵的纹理特征提取方法实现目标的识别-Gray-level co-occurrence matrix based texture feature extraction methods to achieve the target identification
50
- 多媒体技术的发展和视觉信息的飞速膨胀迫切需要对视觉信息资源的有效管理和检索。由此，基于内容的图像和视频检索技术得到了越来越多的重视，成为了多媒体信息检索和图像处理领域中的重要研究方向。CBIR技术将对大规模图像信息的管理和访问提供有力支持。 本文这种介绍了内容图像检索的灰度特征实现方法，具有理论意义和实际应用价值。针对基于内容图像检索技术进行了研究，介绍了其研究现状和关键技术，讨论了其技术瓶颈和发展趋势。共生矩阵法，是对图像的所有像
graymatrix
- 灰度共生矩阵相关资料，包括生成灰度共生矩阵matlab代码，Matlab7工具箱中缺少的graycomatrix.m文件，以及一个通过灰度共生矩阵提取特征的matlab程序（共20多个特征），可以根据他的方法来从灰度共生矩阵中提取你需要的特征。-GLCM relevant information, including generating GLCM matlab code, Matlab7 toolbox graycomatrix.m
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
GraidFeature
- 基于matlab的纹理特征提取 基于灰度共生矩阵的纹理特征-Texture feature extraction based on matlab GLCM-based texture features
Gray-Level-Co-Occurrence-Matrix
- 基于OpenCV和VS2008的图像灰度共生矩阵特征提取实现。文件中还有matlab版本的-Images based on OpenCV and VS2008 GLCM feature extraction achieved. Matlab version of the file there
灰度共生矩阵特征提取应用
- 基于VS2010平台和openCV实现的基于灰度共生矩阵特征提取木材表面缺陷(Extraction of wood surface defects based on Grey co-occurrence matrix)
GLCM method to extract features
- 实现灰度共生矩阵特征提取，对图像的纹理分析有用。(The gray level co-occurrence matrix feature extraction, useful for image texture analysis.)
glcm
- 灰度共生矩阵用于提取图像的特征，用于图像识别和分类(Gray level co-occurrence matrix is used to extract the features of images, and is used for image recognition and classification)
GCLM
- 灰度共生矩阵特征提取以及hog特征提取matlab代码(Feature extraction of grayscale symbiotic matrix)