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模糊聚类算法的一部分,加入了邻域信息,可以更好的分割图像-Part of fuzzy clustering algorithm, joined the neighborhood information may be a better image of the partition
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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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基于模糊C均值聚类和减法聚类结合的图像分割-Based on fuzzy C means clustering and subtractive clustering image segmentation combining
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图像特征提取的总结,用MATLAB模糊聚类算法进行图像分割,阀值分割及特征提取的资料和作业。-Summary of the image feature extraction, fuzzy clustering algorithm using MATLAB for image segmentation, threshold segmentation and feature extraction of data and operations.
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迭代模糊聚类算法,可以用于图像分割,优化算法-Iterative fuzzy clustering algorithm, can be used for image segmentation
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聚类分析是多元统计分析的一种,也是无监督模式识别的一个重要分支,在模式分类 图像处理和模糊规则处理等众多领域中获得最广泛的应用。它把一个没有类别标记的样本按照某种准则划分为若干子集,使相似的样本尽可能归于一类,而把不相似的样本划分到不同的类中。硬聚类把每个待识别的对象严格的划分某类中,具有非此即彼的性质,而模糊聚类建立了样本对类别的不确定描述,更能客观的反应客观世界,从而成为聚类分析的主流。-Clustering analysis is a kind of multivariate statis
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此代码为基于二维直方图的模糊聚类图象分割方法-This code is a two-dimensional histogram-based fuzzy clustering image segmentation method
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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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基于神经网络的遥感图像分类取得了较好的效果,但存在固有的过学习、易陷入局部极小等缺点.支持向量机机器学习方法,根据结构风险最小化(SRM)原理,表现出很多优于其他传统方法的性能,本研究的基于多类支持向量机分类器的遥感图像分类取得了达95.4 的分类精度.但由于遥感图像分类类别多,所需训练样本较大,人工选择效率较低,为此提出以人工选择初始聚类质心、C均值模糊聚类算法自动标注训练样本的基于多类支持向量机的半监督式遥感图像分类方法,期望能在获得适用的分类精度的基础上有效提高分类效率-Neural ne
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运用C实现了数字图像的一些基本算法,包括canny edge detection,阈值变换,维纳滤波,直方图均衡,图像细化,旋转,图像配准,图像分割kmeans, isodata, fuzzy c means, fuzzy clustering, mrf image seg, 图像浏览,road svm using matlab, snakes matlab, anistropic gaussian filter-Canny edge detection, threshold transform
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matlab实现模糊聚类算法进行图像分割-matlab fuzzy clustering algorithm for image segmentation
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图像模糊聚类分割算法,一个文件包,希望能有所帮助。-Fuzzy clustering image segmentation algorithm, a package, hoping to be helpful.
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模糊聚类的图像分割,使用模糊聚类,里面有例子,这类代码不太多。-Fuzzy clustering image segmentation
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VC++写的图像聚类程序包含遗传算法,聚类分析,模糊聚类,很好用的,可以-VC++ written program contains an image clustering algorithm, cluster analysis, fuzzy clustering, well used, can look
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模糊聚类图像分割,是图像处理方面的,对于图像初学者很有帮助。-Fuzzy clustering, image segmentation is image processing, image for beginners helpful.
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本程序为M文件,运行环境为matlab, 也可通过matlab转化为C++运行。实现功能:可实现医学图像的自动分割!-Fuzzy Clustering
Algorithm for Medical Image Segmentation
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智能计算主要程序源码,有matlab的模糊聚类图像分割,还有VC++编写的模拟退火和遗传算法。-Intelligent Computing The main program source code, there is matlab fuzzy clustering image segmentation, as well as VC++ Prepared simulated annealing and genetic algorithms.
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利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很(By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow)
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Fuzzy clustering algorithms like the popular fuzzy c-means algorithm (FCM) are
frequently used to automatically divide up the data space into fuzzy granules. When the fuzzy clusters are used to derive membership functions for a fuzzy rule-based syst
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Fuzzy c-means (FCM) clustering has been widely used in image segmentation. However, in spite of its computational efficiency and wide-spread prevalence, the FCM algorithm does not take the spatial information of pixels into consideration, and hence m
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