搜索资源列表
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5下载：
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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基于遗传和蚁群混合算法的图像配准算法
需要利用matlab遗传工具箱,Based on genetic and ant colony algorithm for hybrid image registration algorithm need to use genetic toolbox matlab
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模糊聚类的图像分割,用matlab语言编写实现模糊聚类的图象分割。,Fuzzy clustering image segmentation, matlab language used to achieve fuzzy clustering image segmentation.
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较全的mean shift算法合集，有基于mean shift算法的图像平滑处理，图像分割，图像聚类,Than the entire collection of the mean shift algorithm, the mean shift algorithm based on image smoothing, image segmentation, image clustering
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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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人工神经网络用于图像分割的matlab程序代码，此程序分割的是车牌图像,Artificial neural network for image segmentation matlab code, this procedure is the license plate image segmentation
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matlab模糊聚类算法进行图像分割的源程序,matlab fuzzy clustering algorithm for image segmentation source code
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C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
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线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
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这是我们的数字图像处理的大作业，用模糊聚类的方法做的图像分割，希望对大家有用，谢谢！-This is our large digital image processing operations, with the fuzzy clustering method to do image segmentation, hope for all of us, thank you!
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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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通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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Meanshift的非监督聚类方法,主要用于图像处理和模式识别。-Meanshift non-supervised clustering method, mainly used in image processing and pattern recognition.
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图像分割 模糊聚类分割算法 通过MATLAB实现的C聚类分割算法，输入分割类别数。可以得到分割后的图像对比-Image segmentation algorithm based on fuzzy clustering partition
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Image segmentation k mean clustering
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基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类，即把收敛到同一点的起始点归为一类，然后把这一类的标号赋给这些起始点，同时把包含像素点太少的类去掉。然后，采用阈值化分割的方法对图像进行二值化处理。-Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
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模糊c均值聚类算法对遥感图像分类，可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their
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图像颜色聚类分割，实现了图形分割，基于RGB特征并显示出来。-Color image segmentation clustering, to achieve the graphics division, based on the characteristics of RGB and displayed.
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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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