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人工选择聚类中心，用k-means聚类方法对图像进行分割，效果不错的-artificial selection cluster center, k-means clustering method for image segmentation, the good results
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中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
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matlab编写的纹理图像分割gussian滤波后k-means聚类并将不同区域用线条表示出来除m程序还包括测试图片-matlab prepared texture image segmentation gussian filtered k-means clustering will be expressed in different regions of the use of lines, inter m program also includes test pictures
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使用K-MEANS算法进行图像的分割，并且有详细的语句注释-K-MEANS algorithm using image segmentation, and a detailed statement notes
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k-means算法实现图像分割 根据输入的类别数量来计算类别平均值-k-means algorithm for image segmentation This program gets an image and the desired number of partitions and finds the means of the different classes and provides a classified image.
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K均值聚类法基于lab颜色空间分割图像，并用霍夫变换检测圆-K means clustering method is based on lab color space segmentation image and Hough transform to detect circles with
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对图像进行K均值分割，分割的结果非常的好-K-means of image segmentation, segmentation results are very good
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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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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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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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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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Adaptive K means algorithm for medical image segmentation , It is very useful for ultrasound images-Adaptive K means algorithm for medical image segmentation , It is very useful for ultrasound images
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中介真值程度度量，基于中介真值程度度量的图像分割本程序的性能已经超过其他算法，基于K均值的PSO聚类算法。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation This program has exceeded the performance of other algorit
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