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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-fuzzy clustering method of image segmentation, good results, the speed is very slow
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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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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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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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改进的模糊聚类算法,主要用于处理高分辨率遥感影像-Improved fuzzy clustering algorithm, mainly used to deal with high-resolution remote sensing image
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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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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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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均值聚类的MATLAB程序,有详细中文注释,对初学者很有帮助。-Fuzzy C-means clustering of the MATLAB program, a detailed English notes, very helpful for beginners.
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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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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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基于模糊的聚类,图像的简单处理,初涉图像处理可以借鉴 -Based on fuzzy clustering, a simple image processing, image processing can learn from kicking the tires
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针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
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提出了一种基于多通道 Gabo r滤波器和 FCM聚类的图像融合新方法。该方法先利用模糊
C2均值聚类算法在多通道 Gabo r滤波器形成的特征空间上对图像进行区域分割 再对待融合图像进行多尺度小波分解 在此基础上利用 Gabo r滤波器提取高频段纹理特征构造区域相似度 ,应用区域相似度及信息量构造加权因子 ,从而得到融合图像的小波系数 最后 ,利用小波逆变换得到融合图像.-Proposed a multi-channel Gabo r filter and FCM clustering f
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模糊聚类图像分割,还包括spectral clustering及其改进版(按照pr2010某paper)-image segmentation using fuzzy c means & spectral clustering
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基于模糊c聚类经行图像分割,有区别于常态的canny等算子,值得研究-Based on fuzzy c-line image segmentation by clustering, there are so different from the normal of the canny operator, to be studied
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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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基于模糊聚类分析的图像分割技术研究算法。-Fuzzy clustering analysis based on image segmentation algorithm.
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利用模糊聚类算法实现图像分割,在matlab环境中实现。-Image segmentation using fuzzy clustering algorithm, implemented in Matlab environment.
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图像分割为3类的FCM算法-模糊聚类的图像分割算法-The image is divided into three class FCM algorithm- fuzzy clustering for image segmentation algorithm
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