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picture2468
- 基于VC++实现的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
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
Texture
- 计算灰度共生矩阵的Matlab程序,参考《基于颜色空间和纹理特征的图像检索》,输入图像数据,返回八维纹理特征行向量-A programm computing GLCM texture measurements.
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
gongsheng_standardized
- 灰度图像处理程序 包括两个程序 一个是用来提取灰度共生矩阵，第二个用来对灰度图像进行均方差标准化，提高图像强度 -Gray-scale image processing program includes two programs are used to extract a gray level co-occurrence matrix, the second gray-scale images were used to standardize variance and improve the
texture_GUI
- 此程序是基于灰度共生矩阵的图像纹理特征提取算法，它进行了四个方向上的灰度共生矩阵的计算，从而得出他们的纹理特征向量，再求均值，使计算进度大幅度提高-This program is based on the GLCM texture feature extraction algorithm, which was four directions GLCM calculation to arrive at their texture feature vector, and then seek mean
ImageRetrievalAlgorithm
- 文是一种基于灰度共生矩阵的图像相似性检索算法，首先将图像分成互不重叠的子图像块，根据子图像 块中像素间灰度差别重新设置每个像素的灰度值为0或l，然后将整个图像重新划分成子块，对子块编码，最后借 助共生矩阵提取的不同方向的特征值来检索图像的相似性。实验结果表明本文算法对图像相似性的检索比传统 方法GLCM、CCM更有效，且检索效率较高，更重要的是此算法还可以反应不同方向上图像的相似度。-Man is an image based on gray level co-occurrence
GTTexturer
- 计算灰度共生矩阵的Matlab程序,参考《基于颜色空间和和纹理特征的图像检索》,输入图像数据,返回八维纹理特征行向量 -Computing to GLCM the Matlab program, the reference input color space and texture feature-based image retrieval, image data, return to the eight-dimensional texture feature row vector
97288407imageproccess
- 灰度共生矩阵的C++代码 基于纹理的图像检索能用的上-hui du gong sheng ju zhen de dai ma c++ shi xian
wenlijisuan
- 计算图像的灰度共生矩阵，及相关的纹理信息，主要用于图像检索和分类-Calculate the image gray level co-occurrence matrix, and the texture information, mainly for image retrieval and classification
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
GLCM_Image-Retrieval
- 基于Matlab环境的利用灰度共生矩阵实现的图像检索算法-To realize the image retrieval algorithe based on gray-level co-occurrence matrix by using Matlab
MotifOriginal
- 基于形状的灰度共生矩阵的图像检索，利用基元扫描图像-Shape-based image retrieval GLCM, using primitive scanned image
GongSheng
- % 图像检索——纹理特征 %基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵 %所用图像灰度级均为256 %参考《基于颜色空间和纹理特征的图像检索》(% image retrieval - texture features % based on co-occurrence matrix texture feature extraction, d=1, theta, =0 degrees, 45 degrees, 90 degrees, 135 degrees