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Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
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非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
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alow to segment an image base on the k-means in the color domain using the rgb space.
color segmenation
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实现图像的分割。改程序是在matlab环境下运行的，程序中用到了k-means算法，实现的结果很不错-This is the program of image segmentation based on the following work:
S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image P
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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K均值的PSO聚类算法,包括压缩比、运行时间和计算复原图像的峰值信噪比,现代信号处理中谱估计在matlab中的使用。- K-means clustering algorithm based on the PSO, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Modern signal processing used in the spectral
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图像的光流法计算的matlab程序,非常适合计算机视觉方面的研究使用,基于K均值的PSO聚类算法。- Image optical flow calculation matlab program, Very suitable for the study using computer vision, K-means clustering algorithm based on the PSO.
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VLFeat是一个跨平台的开源机器视觉库，它囊括了当前流行的机器视觉算法，如SIFT, MSER, HOG, 同时还包含了诸如K-MEANS, Hierarchical K-means的聚类算法。它由C语言编写，并提供了Matlab接口及详细的文档。当前最新的版本是VLFeat 0.9.18 。(The VLFeat open source library implements popular computer vision algorithms specializing in image un
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