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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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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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K-means clustering based segmentation
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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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利用K均值进行图像分割，无需利用“苹果为红色”这个先验知识，而只需利用图像本身的特征——前景与背景区别较明显-The use of K-means image segmentation, without the use of " red apple" This a priori knowledge, and simply use the characteristics of the image itself- the more obvious differences betwe
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K均值聚类算法，可用于图像分割，算法简单有效-K-means clustering algorithm can be used to image segmentation and it is simple and effective
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K-means图像分割，简单方便的经典图像分割方法~-K-means image segmentation
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Segmentation of color images using k means clustering.
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This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation
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matlab 基于K均值聚类算法的图像分割-K-means clustering algorithm for image segmentation
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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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This program illustrates the Fuzzy c-means segmentation of an image.
This program converts an input image into two segments using Fuzzy k-means
algorithm. The output is stored as fuzzysegmented.jpg in the current directory.
This program ca
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image segmentation using k-means partitional clustering algorithm, matlab code
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The K-means algorithm has been widely used in the segmentation of color images for many applications, such as color blood corpuscle accounting, natural image segmentation, face detection of fruit accounting, detection of oil overflow, and biology mic
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color based segmentation using k means clustering
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基于K-means聚类算法对彩色图象进行分割，聚类的个数可由自己定义.-Based on K- means clustering algorithm for color image segmentation,and the number of clustering can be defined by yourself.
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image segmentation with k-means
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