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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
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K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain
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This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent
brightness and texture. Natural images contain both textured and untextured regions, so the cues of contour and
texture differences are exploited
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matlab编写的纹理图像分割，用c-v模型进行图像分割-matlab prepared texture image segmentation, cv model using image segmentation
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Texture segmentation is the identification of regions based on their texture. Your goal is to segment two kinds of fabric in an image using texture filters.
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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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本程序计算局部窗口的累积直方图，可用于驱动水平集和纹理分割- in this test program, we calculate the cumulative histogram in a local
window centered at each pixel,this local cumulative histogram can be
used to drive the level set for image and texture segmentation.
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利用MATLAB编写的实现纹理图像的分割，但其只是针对部分图像可以达到很好的效果，不具有普遍适应性。-Prepared using MATLAB implementation of texture image segmentation, but only for the portion of the image can be achieved very good results, do not have universal adaptability.
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ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
-Descr iption This is an example of the basic Active Shape Model (ASM) as introduced by Coot
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本文介绍了使用彩色纹理分割的彩色纹理分割聚类算法的多分辨率图像融合-The paper presents color texture segmentation using FCM for color texture segmentation based multi-resolution image fusion
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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
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使用纹理滤波器分割图像，运行环境最好是MATLAB2009以上版本，内有图像-Image segmentation using texture filter
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基于K-Means的纹理图像分割，利用k-means方法实现对于纹理的图像分割-K-Means-based texture image segmentation using the k-means method implementation for texture image segmentation
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基于标记的Watershed图像分割算法是一种改进的分水岭算法，它很好地被应用于人脸及其他一些场景图像的分割。把该方法引入高分辨遥感图像的分割，并针对遥感图像的特点，在分割之前采用中值滤波对高分辨率遥感图像进行预处理；同时，在分割过程中采用用小波滤波器替代Butterworth滤波器对梯度图像的低通滤波。不同地物特征Quickbird图像的分割实验表明，对于纹理比较均一的高分辨率遥感图像，该方法避免了过分割现象，且效率较高；但对于纹理比较复杂的图像，该方法具有一定的局限性。-Watershed
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WINDOWS操作系统下MATLAB图像处理工具箱，非常好用-Matlab demo-Image processing toolbox
- Texture Segmentation Using Texture Filte
(entropyfilt)
- color-Based Segmentation Using K-Means Clustering
Vgg-matlab
Zisserman: Texture Classification: Are Filt
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example of texture segmentation using matlab code
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VC++6.0环境下 利用OpenCV对木片的宝塔纹纹理进行分割-VC++6.0 environment using OpenCV on the wood grain texture segmentation of the pagoda
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matlab code for segmentation using color and texture properties of image
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Texture Segmentation Using Texture Filters such as : entropyfilt, rangefilt and stdfilt.
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8Image Segmentation using Multiresolution Texture Gradient pxc3873579-8Image Segmentation using Multiresolution Texture Gradient pxc3873579
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