搜索资源列表
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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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基于matlab的图像k均值算法，实现对一副彩色图像进行分割。-Matlab image based on k means algorithm, to realize a color image segmentation.
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基于kmeans的图像分割算法，首先得到图像，再确定分类，并计算各分类的均值，从而得到各个像素的分类。-Kmeans-based image segmentation algorithm, first of all get the image, and then determine the classification, and calculate the various categories mean, and thus obtain the classification of each pi
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k均值图像分割，经典的图像分割方法，算法简单，效果好。-k-means image segmentation
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利用k-means算法进行图像分割，效果较好-Using k-means algorithm for image segmentation is better
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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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利用kmeans方法进行图像分割的matlab代码，希望对大家有用-Kmeans method using image segmentation matlab code, in the hope that useful
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K均值算法实现图像的分割，分割效果可以达到预期的效果-K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results
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K均值 很好用的K均值代码 -K-means K-means used in a very good code
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对图像进行分割，使得图像的特征更加明显，这样将更加利与检测-Segmentation of images, making more obvious features of the image, so that profits and testing will be more
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彩色图像分割算法，首先基于直方图粗分，而后通过kmeans细分，得到分割结果-Color image segmentation algorithm, first, rough segmentation based on histogram and then broken down by kmeans get segmentation results
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matlab图像分割实例，K均值用于图像分割，割调用库函数实现，带注释，简单易懂-matlab image segmentation examples, K means for image segmentation, cutting calls library functions, with comments, easy to understand
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K均值的图像分割 不错的程序 -kmeans-image-segmentation kmeans-image-segmentation kmeans-image-segmentation kmeans-image-segmentation
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彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3)
image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this
function will step through an interactive color segmentation using kmeans clustering. It
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分水岭算法，用分水岭算法实现对MRI图像的分割。-Watershed algorithm that USES watershed algorithm for MRI image segmentation.
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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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图像分割 matlab 直接运行 基于k均值-Matlab image segmentation based on k-means run directly
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一种图像聚类分割的简单的算法实现，是最为经典的基于划分的聚类方法-Simple clustering algorithm for image segmentation implementation, is the most classic division based clustering methods
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利用MATLAB实现基于kmeans的图像分割技术(Implementation of image segmentation technology based on kmeans using MATLAB)
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