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k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
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用于图像处理，K-MEANS聚类实现图像的分割和识别，是一种重要的图像处理方法-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
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In this paper, we propose a color-based
segmentation method that uses the K-means clustering
technique to track tumor objects in magnetic
resonance (MR) brain images. The key concept in this
color-based segmentation algorithm with K-means is
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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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聚类算法有很多种，该程序是基于K-均值聚类算法，主要用于图像的分割-There are many clustering algorithms, the program is based on the K-means clustering algorithm, mainly used for image segmentation
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用于雪花检测与去除是基于K-MEANS 算法的
在雪天进行检测-For image processing, K-MEANS Clustering achieve image segmentation and recognition, is an important image processing method
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kmeans image segmentation
Input:
ima: grey color image
k: Number of classes
Output:
mu: vector of class means
mask: clasification image mask- kmeans image segmentation
Input:
ima: grey color image
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迫零和最小均方误差比较，非常好的程序，保证可以仿真出图形-DIP text book kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask:
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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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image segmentation with k-means algorithm and mean shift clustering and filtering
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SEGMENTATION K-MEANS
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color based segmentation using k means clustering
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谱聚类，基于k均值的聚类方法，能够分割高维空间的数据点，-Spectral clustering based on k-means clustering method, it is possible segmentation data point of the high-dimensional space,
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Segmentation with k means clustering and mean shift
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利用libsvm进行图像分割，其结果比k-means以及fcm都要好一点-libsvm to image segmentation
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用K-MEANS算法进行图像的分割,并且有详细的语句注释-With K- MEANS algorithm for image segmentation, and a detailed statement annotations
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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)
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We will demonstrate a raster image segmentation process by developing a code in C# that implements k-means clustering algorithm adaptation to perform an image segmentation.
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