搜索资源列表
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基于蚁群算法的模糊C均值聚类医学图像分割方法的研究,Ant colony algorithm based on Fuzzy C-Means Clustering Method for Medical Image Segmentation
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模糊聚类算法的实现,用c语言实现,有测试内容,附有测试文件-The realization of fuzzy clustering algorithm, using c language implementation, there are contents of the tests with a test file
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FCM 模糊C均值聚类算法。使用说明:这是一个可以人机交互的FCM算法,首先使用鼠标圈定一个矩形区域,则算法自动施加于目标区域:) Have Fun :)-FCM fuzzy C means clustering algorithm. Usage: This is a can of HCI FCM algorithm, the first to use the mouse a rectangular area delineation, the algorithm automatically im
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模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
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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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模糊C-均值聚类算法,使用VC++与matlab 编程两种方法实现算法-Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways
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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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模糊C均值聚类算法工具箱
总有一种程序适合你-Fuzzy C-means clustering algorithm toolbox there a program for you
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加入邻域信息的空间模糊c均值聚类算法的代码。-Join neighborhood information, spatial fuzzy c-means clustering algorithm code.
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模糊C均值聚类(FCM),即众所周知的模糊ISODATA,是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C means clustering (FCM), known as fuzzy ISODATA, is used to determine membership of each data point belongs to a cluster of a clustering algorithm level.
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算法目的:通过模糊c-均值(FCM)聚类实现图像的分割-Algorithm Objective: fuzzy c-means (FCM) clustering for image segmentation
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FLICM一种基于模糊局部信息C均值聚类方法,是对传统FCM聚类方法的最近改进方法,具有更强的鲁棒性,效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering
algorithm.
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k均值算法是模式识别的聚分类问题,采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
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将用双线性插值归一化后的图像用2*2的窗口扫描加权方向的边缘图,用改进的模糊C均值聚类算法将图像聚类成为候选文字区域和非文字区域。-Bilinear interpolation owned by an after image edge map with 2* 2 the window scanned weighted direction, image clustering with improved fuzzy C-means clustering algorithm to become the
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模糊C均值聚类算法,将RGB图像转换到HSI空间时进行聚类-Clustering fuzzy C-means clustering algorithm, the RGB image is converted to HSI space
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模糊C均值聚类算法,实验用程序,亲测可用,大家放心下载-Fuzzy C-means clustering algorithm, experimental procedures, pro-test available, rest assured download
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两个matlab编写的图像分割算法,分水岭和模糊C均值聚类算法-matlab codes, watershed algorithm and fuzzy C means clustering algorithm
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基于局部模糊C均值聚类算法的图像分割的Matlab源代码-Image segmentation based on local fuzzy C-means clustering algorithm
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模糊C均值聚类算法过程,C语言编写,有测试数据-Fuzzy C-means clustering algorithm process, C language, test data
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模糊C均值聚类算法用于图像分割,可以直接应用-Fuzzy C-means clustering algorithm for image segmentation, can be directly applied
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