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K means+PSO for Image Segmentation
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Image Segmentation using K means
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利用k均值算法对图像色彩进行聚类分割，将图像中色彩相近的分割成一块。一种很好的图像分割算法。-K-means clustering segmentation algorithm for image color, the color in the image is divided into a similar. A good image segmentation algorithm.
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基于K-means聚类的图像分割算法，想法比较简单，实现很方便，运行速度很快，有例图。-Image segmentation based on K-means clustering algorithm, the idea is relatively simple, very convenient, fast run case diagram.
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K-Means Image Segmentation
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首先进行帧差处理，根据得到的帧差进行k均值算法，完成图像分割-First frame difference processing, k-means algorithm based on frame difference, to complete the image segmentation
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图像分割中K-means聚类算法的matlab实现-Image segmentation in the K-means clustering algorithm matlab implementation
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k均值图像分割源码，可对灰度图像进行三类聚类-k-means image segmentation source, three types of clustering of grayscale images
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k 均值算法用于图像分割,根据灰度图自适应地确定分类数并进行分割，需要先用k均值初始化-k’-means algorithm for image segmentation, based on grayscale adaptively determine the number of classification and segmentation, you need to use the k-means initialization
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使用k-means方法对图像进行分割,可以得到较为不错的效果-Using k-means method for image segmentation, good results can be obtained more
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使用K-means聚类方法实现图像分割，代码可用，操作简单-Using K-means clustering method of image segmentation, the code is available, easy to operate
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Image Segmentation is vital role in nowadays.
The K-means algorithm usually the initial centroids for the K-means clustering are determined randomly so that the determined centroids may reach the nearest local minima, not the global optimum.
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利用k-means的算法实现图像区域分割，主程序只能运行灰度图像，彩色图像需另写调用程序-Using the k-means algorithm for image segmentation, the main program will only run grayscale image, color image subject to write the calling program
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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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The attachment consists of a source code that performs malarial segmentation using k-means clustering.It also contains HUI conversion of an malarial image.Water shed algorithm applied on a cel image , and detection of water ridge lines for dental x r
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用c#和emgucv实现了hough变换检测圆和最大类间方差和k均值聚类分割图像，k均值聚类的函数可填写分类数和迭代次数的阈值，而且是基于灰度的。（ps：函数都是自己实现的，但是读取图片信息用的是emgucv自带的函数）-With c# and emgucv achieved between hough transform circle detection and maximum variance and k-means clustering image segmentation, the fu
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基于matlab的彩色图像分割，方法是K-means聚类分割-Matlab-based color image segmentation method is K-means clustering segmentation
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一个快速k均值彩色图像的分割算法，运行环境是matlab！-A fast k-means algorithm for color image segmentation, the operating environment is matlab!
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image segmentation with k-means algorithm and mean shift clustering and filtering
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