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Texture Segmentation using Gabor Filters 纹理图像分割 包括一个pdf文件,几个m文件
Update : 2008-10-13 Size : 351.84kb Publisher : 程雪娇

基于纹理分析的图像分割用滤波实现,需要先输入参数。%The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes -Based on Texture Analysis for Image Segmentation with filtering to achieve, need to input parameters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes
Update : 2025-02-19 Size : 3kb Publisher : yemaoqiu

用gabor滤波器,K-means聚类的方法实现对图像进行纹理分割。-Using gabor filters, K-means clustering approach to achieve texture segmentation of images.
Update : 2025-02-19 Size : 46.26mb Publisher : 黎维娟

Texture Segmentation using Gabor Filters 纹理图像分割 包括一个pdf文件,几个m文件-Texture Segmentation using Gabor Filters texture image segmentation include a pdf document, several m files
Update : 2025-02-19 Size : 352kb Publisher : 程雪娇

基于gabor纹理分割, 基于gabor纹理分割,基于gabor纹理分割-Gabor-based texture segmentation, texture segmentation based on gabor, gabor-based texture segmentation, texture segmentation based on gabor
Update : 2025-02-19 Size : 62kb Publisher : zcw

用多尺度Gabor小波滤波器组实现纹理分割,其中聚类算法采用K均值聚类,本科毕业设计,省优秀-multi-scale Gabor wavelet,texture segmentation,k-mean clustering
Update : 2025-02-19 Size : 4.64mb Publisher : 汪彪

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
Update : 2025-02-19 Size : 3kb Publisher :

texture segmentation with gabor filters
Update : 2025-02-19 Size : 19kb Publisher : pegah

DL : 0
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.
Update : 2025-02-19 Size : 82kb Publisher : sidharth

DL : 0
基于Gabor变换的图像纹理识别。 提出了一种改进的Gabor变换的图像纹理增强算法,将空域的纹理图像变换到联合空间频率域并将联合空间 频率域的能量分布作为掌纹的特征,Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波,特征向量进行了匹配 识别,增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成,同时也对滤波算法进行了优化,有效地减少了运 算量。-Gabor transform based image texture recognition. An improved image of the Gabor transform texture enhancement algorithm, the airspace of the texture image transform frequency domain to the joint space and joint space frequency domain characteristics of the energy distribution as a palm, Gobar filter pair in the frequency domain block its the main direction of the energy distribution of the frequency filtering, feature vectors were matched to identify, enhance the features of ridge information as well as the core region of multi-dimensional spatial frequency energy filter synthesis, but also on the filtering algorithm has been optimized, effective in reducing the computational complexity.
Update : 2025-02-19 Size : 801kb Publisher : 爱学习

In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. It is new formulation for the extraction of color features that will evaluate the input image in a multispace color representation. To achieve this, we will be using the opponent characteristics of the RGB and YIQ color spaces where the key component will be the inclusion of the Self Organizing Map (SOM) network in the computation of the dominant colors and estimation of the optimal number of clusters in the image. The texture features will be computed using a multichannel texture decomposition scheme based on Gabor filtering.
Update : 2025-02-19 Size : 339kb Publisher : rupesh

对图像进行gabor变换和图像纹理分割的页面-The image transform and image texture segmentation
Update : 2025-02-19 Size : 179kb Publisher : 朱正刚

该方法采用gabor提取纹理特征,最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
Update : 2025-02-19 Size : 65kb Publisher : 郝人

Texture segmentation source code use gabor
Update : 2025-02-19 Size : 44kb Publisher : gabi

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 the corresponding road area based upon the detected vanishing point. The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based upon a local voting region using high-confidence voters, whose texture orientations are computed using Gabor filters, and a new vanishing-point-constrained edge detection technique for detecting road boundaries.
Update : 2025-02-19 Size : 4kb Publisher : 邵文

DL : 0
利用Gabor滤波器进行特征提取,在信号与图像处理领域有着广泛的应用。参考文献“Efficient Computation of Gabor Features”-Gabor fi lter responses are widely and successfully used as general purpose features in many computer vision tasks, such as in texture segmentation, face detection and recognition, and iris recognition.
Update : 2025-02-19 Size : 1kb Publisher : Zhiyuan Wu

对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓-To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor transform to extract image texture feature, according to the statistics information hypothesis, through the partial differential equation of the level set and narrow band method, get a basic active contour algorithm segmentation more smooth accurate object contour
Update : 2025-02-19 Size : 518kb Publisher : 张钰倩

DL : 0
基于Gabor滤波的纹理特征提取程序,用于图像分割-Texture feature extraction based on Gabor filter program, used for image segmentation
Update : 2025-02-19 Size : 8.26mb Publisher : chris_lee

Gabor滤波器实现纹理图像的分割,效果不错-Gabor filter is used for texture image segmentation
Update : 2025-02-19 Size : 4kb Publisher : 谢小毛

DL : 0
该方法采用gabor提取出图像纹理特征,最后采用k-means方法聚类进行图像分割(The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation)
Update : 2025-02-19 Size : 6kb Publisher : TGISer
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