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KMEANS算法实现聚类分割，并包含实例-clustering segmentation with kmeans algorithm
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一些图像分割算法，包括快速K-均(kmeans)聚类图像分割算法源代码-The number of image segmentation algorithms, including fast K-(kmeans) clustering segmentation algorithm source code
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此代码为模糊C均值聚类的图象分割算法的MATLAB实现（与kmeans方法有所不同）-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
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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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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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运用C实现了数字图像的一些基本算法，包括canny edge detection,阈值变换，维纳滤波，直方图均衡，图像细化，旋转，图像配准，图像分割kmeans, isodata, fuzzy c means, fuzzy clustering, mrf image seg, 图像浏览，road svm using matlab, snakes matlab, anistropic gaussian filter-Canny edge detection, threshold transform
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kmeans聚类，彩色图像分割，形态学处理，标记水果-kmeans clustering, color image segmentation, morphological processing, labeled fruit
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MRI 脑组织参数估计与分割。此程序用两种方法——Kmeans和期望最大化EM对比对MRI脑组织进行分割和参数估计-The MRI parameter estimation and segmentation of brain tissue. This program on MRI brain tissue segmentation and parameter estimation using two methods-- Kmeans and expectation maximization EM
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一种基于颜色的分割，使用聚类算法中的K均值算法。本例主要用到的函数是色彩空间转换函数makecform和applycform，对于K均值聚类使用kmeans函数。-Based on color segmentation, using clustering algorithm K-means algorithm. In this case the main function used is the color space conversion function makecform and appl
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使用kmeans算法对图像进行分割，先对图像进行了rgb到lab的转换-Use kmeans algorithm for image segmentation, the first image of rgb to lab conversion
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这是一个机遇Kmeans的图像分割程序，整个程序非常简洁，图像分割效果很好-This is an opportunity Kmeans image segmentation procedures, the whole process is very simple, image segmentation, good results
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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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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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kmeans图像分割算法，可以正确分割图像-kmeans image segmentation
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Kmeans图像分割，分为3类的情况
已经经过验证，可以正确仿真-kmeans image segmentation
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图像分割 自适应阈值法，otsu法，区域生长法，最大熵法，贝叶斯法，kMeans法，MeanShift法。-Adaptive threshold image segmentation method, otsu method, region growing method, the maximum entropy method, Bayesian method, kMeans law, MeanShift law.
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在opencv环境下使用fuzzy c means和kmeans算法实现图片像素RGB值聚类，希望对大家有帮助-using fuzzy c means and k-means algorithm to realize the RGB image segmentation in opencv.
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演示Kmeans聚类算法在计算机视觉中的应用
,实现如何利用Kmeans聚类实现图像的分割-Demo Kmeans clustering algorithm in computer vision to realize how to use clustering to achieve image segmentation Kmeans
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kmeans算法用于图片处理，实现图像聚类分割-Kmeans algorithm used in image processing, the realization of image clustering segmentation
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