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在matlab下的k-均值聚类进行图像分类分割处理,In matlab under the k-means clustering for image classification be dealt with separately
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图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值,Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans
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利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
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K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
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快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
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这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is to use k-means clustering algorithms partition a gray image.
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这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
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Image segmentation k mean clustering
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k-均值聚类法用于各种图像的聚类、分割问题，希望可以对您有利-k-means clustering method for a variety of image clustering, segmentation
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简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
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使用K均值做聚类分析来进行图像分割,把原始图像转换到HSV空间做聚类分析-use k-means clustering to segment the image
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该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
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candy边缘检测，彩色图像的边缘检测，K均值聚类，sobel边缘检测（C）其他是matlab程序-candy edge detection, color image edge detection, K-means clustering, sobel edge detection (C) the other is a matlab program
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可以很好的将一个图像矩阵进行聚类，生成一个聚类后的图像。-A based on the matlab image k-means clustering algorithm program
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K均值聚类在Matlab中的代码实现，是图像分割和图像识别中常用处理操作-K-means clustering code in Matlab realize image segmentation and image recognition is commonly used in processing operations
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K-means 聚类算法Matlab代码，基于 K-means 聚类算法的图像区域分割-K-means clustering algorithm Matlab code, image region segmentation based on K-means clustering algorithm
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matlab中K-means聚类算法在CIElab空间的可用于车牌检测，基于色彩的图像分割-K- means clustering algorithm in matlab in the CIElab space can be used for license plate detection, image segmentation based on color
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K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
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k均值聚类提取，适合学习。先将RGB图像转换到LAB空间，在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
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基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)
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