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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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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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基于改进模糊聚类算法鲁棒的图像分割 对噪声图像提出的一种改进算法,Based on robust fuzzy clustering algorithm to improve the image segmentation
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基于K均值聚类的图像分割算法
java源代码 十分好用 希望大家喜欢,K-means clustering-based image segmentation algorithm
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AP聚类方法，是08年发表在“科学”上的聚类方法，本人从图像图像方面研究近十年，这是我所见过最好的聚类算法，本程序提供聚类演示，还把它用图像分割试验（matlab7.0环境调试）。-AP clustering method, is 08 published in " Science" on the clustering method, the image from the image in my research in recent years, this is the bes
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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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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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Data Clustering with Normalized Cuts
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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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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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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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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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该程序是我毕业设计时候做的，是运用蚁群聚类算法进行图像分割的程序，针对普通图像跟MRI图像进行处理，效果不错！-The program is designed to graduate when I do, is to use ant colony clustering algorithm for image segmentation procedure, for the ordinary image processing with the MRI images, good results!
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KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
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台湾大学几位学者写的基于K-均值算法的快速图像分割，用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means
Clustering with Histograms in HSV Color Space
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it is about image segmentation with the help of clustering
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采用模糊聚类方法对图像进行分割，可以自行设置参数，进行隶属度划分。-Using fuzzy clustering method for image segmentation, can set parameters, membership division
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The program is designed to graduate when I do, is to use ant colony clustering algorithm for image segmentation procedure, for the ordinary image processing with the MRI images, good results!
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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，附有参考资料-Using phase coherence image edge extraction, the K-means clustering region growing image segmentation, with reference
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Clustering is a way to separate groups of objects. K-means clustering treats each object as having a location in space. It finds partitions such that objects within each cluster are as close to each other as possible, and as far from objects in other
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