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image segmentation using cmeans clustering
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基于核的FCM,可以用于聚类或者图像分割,但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
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用C均值聚类方法实现图像分割,matlab实现,包含实验报告-C means clustering method used to achieve image segmentation, matlab implementation, including test reports
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实现小波3级分解 构建3维跨频带矢量 然后LBG聚类 再重构原图像-Construction of wavelet decomposition to achieve three inter-band 3-D vector and then reconstruct the original image LBG clustering
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算法目的:通过模糊c-均值(FCM)聚类实现图像的分割-Algorithm Objective: fuzzy c-means (FCM) clustering for image segmentation
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图像特征提取的总结,用MATLAB模糊聚类算法进行图像分割,阀值分割及特征提取的资料和作业。-Summary of the image feature extraction, fuzzy clustering algorithm using MATLAB for image segmentation, threshold segmentation and feature extraction of data and operations.
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针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
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使用K均值做聚类分析来进行图像分割,把原始图像转换到HSV空间做聚类分析-use k-means clustering to segment the image
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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
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matlab 彩色图像处理,是采用Kmean聚类法做出的。处理的效果还行-atlab color image processing, clustering method is used Kmean made. Treatment results were line
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拉普拉斯特征映射,采用热核构造权重,是一种基于流行学习的非线性降维技术,可用于图像分割提高聚类的性能-Laplacian Eigenmap is a kind of nonlinear dimensionality reduction technique which based on manifold study, it choose the weights W using the heat kernel and it can be used for image segmentation to
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用MATLAB编写的K均值聚类用于图像分割-Written by K-means clustering MATLAB for image segmentation
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针对FCM算法的运行时间长和计算量大的问题,提出了改进的FCM算法,先将图像分割成窗口大小的子块,然后以子块为单位提取特征向量,用FCM聚类粗分割,然后对边缘子块,以像素为单位从新提取特征向量,进行细分割。分割后的结果提高了运行速度和分割精度。-For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into bl
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图像滤波matlab基于自适应k均值聚类的图像去噪方法-The image filter matlab image denoising method based on adaptive k-means clustering
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在matlab中采用空间空间聚类法实现图像分割
-By MATALB using spatial clustering method for image segmentation
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matlab中使用k-means聚类实现图像分割-using k-means clustering matlab image segmentation
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參考文獻「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」
Clustering-based Sparse Representation 的 matlab代碼-「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」and
Clustering-based Sparse
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基于纹理的图像分割的Matlab源代代码,应用小波和K均值聚类-matlab
-Texture-based image segmentation Matlab source generation of code, the application of wavelet and K-means clustering-matlab
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基于图像内容检索的模糊c均值聚类,在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb
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comparehist是用于检测两个图像的直方图巴士距离,xuefu是通过C类均值算法对图像进行颜色聚类,ccv是提取衣服图像的颜色一致向量,便于以后对图像各个特征值进行操作-comparehist is used to detect the two image histogram bus distance, xuefu Class C means algorithm for image color clustering, ccv extract clothes image consistent
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