Description: 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 Platform: |
Size: 3072 |
Author:yemaoqiu |
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Description: 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 Platform: |
Size: 360448 |
Author:程雪娇 |
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Description: 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. Platform: |
Size: 83968 |
Author:sidharth |
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Description: 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. Platform: |
Size: 820224 |
Author:爱学习 |
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Description: 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. Platform: |
Size: 347136 |
Author:rupesh |
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Description: 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 Platform: |
Size: 530432 |
Author:张钰倩 |
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