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3下载：
这里包含三个高质量的Gabor实现代码，分别基于C、OpenCV、Matlab，大家各取所需吧。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。
,Here are three high-quality implementation of the Gabor code, respectively, based on C, OpenCV, Matlab, let everyone take what we need
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gabor滤波器的matlab代码，用于在不同方位不同尺度下的图像纹理特征提取。-the code of Gabor filter,using for texture features extract under multi-orient and multi-scale.
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gabor小波图片纹理特征提取，MATLAB编码，效果不错！-gabor wavelet image texture feature extraction, MATLAB code, good results!
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gabor filter 图像纹理提取 边缘检测-gabor filter edge detection image texture extraction
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Tutorial for Gabor filter basic-Tutorial for Gabor filter basic...
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纹理分割中的Gabor滤波器和Gaussian滤波器的MATLAB源代码-Texture Segmentation of Gabor filters and Gaussian filters MATLAB source code
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采用matlab，实现了gabor滤波的核心功能-gabor filter is very famous and really useful for texture feature extraction and image retrivel. attached code is wrriten well using matlab. More detail can be referenced in the paper <texture features for browsing and ret
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this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.
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提取纹理特征参数,主要是灰度共生矩阵源代码，用于图像处理-gray level co-matrix source code,used for the image processing, to get the texture features
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gabor code
gabor wavelets used for texture extraction
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该代码为用gabor变换算法提取图像的纹理特征，用matlab编写，可应用于基于纹理的图像检索系统。其中还包含一篇gabor变换相关的文献-The code for the transformation algorithm using gabor texture features extracted using matlab preparation, can be applied to image retrieval system based on texture
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（注意，之前上传的Fea_Gabor_brodatz有误）该代码为用gabor变换算法提取图像的纹理特征，用matlab编写，可应用于基于纹理的图像检索系统。其中还包含一篇gabor变换相关的文献-The code for the transformation algorithm using gabor texture features extracted using matlab preparation, can be applied to image retrieval system bas
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这个代码能够比较精确地实现图像中道路区域的分割与提取。-This code addresses this question by
decomposing the road detection process into two steps: the estimation
of the vanishing point associated with the main (straight) part
of the road, followed by the segmentation of
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