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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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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一种图像分割算法—像素聚类区域成长法
此法从一个种子像素开始,通过如平均灰度、组织纹理及色彩等性质的判断,将具类似性质的像素纳入所考虑区域。-An image segmentation algorithm- clustering pixels regional growth law this method started from a seed pixel, through, such as average gray, organizations such as texture and co
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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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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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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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模糊C均值聚类算法处理的图像分割,模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
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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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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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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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基于DCT-GMM的SML的图片聚类功能的算法实现,使用MATLAB语言(DCT-GMM based SML image clustering algorithm implementation, using the MATLAB language)
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