搜索资源列表
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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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基于直方图的遗传聚类算法，用于图象分割，功能相当强大。-Histogram-based genetic clustering algorithm for image segmentation, function quite powerful.
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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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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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用于图像分割的自调整普聚类算法，可实现大多数图像的无监督分割-Self-tunning spectral clustering for image segmentation
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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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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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图像分割聚类，运用聚类进行图像分割的MATALAB程序，效果良好-Segmentation clustering, the use of clustering for image segmentation MATALAB procedures to good effect
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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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Content-based medical image retrieval is now getting more and more attention in the
world, a feasible and efficient retrieving algorithm for clinical endoscopic images is urgently
required. Methods: Based on the study of single feature image retr
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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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图像的分类处理，根据提取的图像特征，利用聚类运算进行图像的聚类处理。-Image classification, according to the extracted image features, the use of cluster computing clustering for image processing.
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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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在matlab中采用空间空间聚类法实现图像分割
-By MATALB using spatial clustering method for image segmentation
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comparehist是用于检测两个图像的直方图巴士距离，xuefu是通过C类均值算法对图像进行颜色聚类，ccv是提取衣服图像的颜色一致向量，便于以后对图像各个特征值进行操作-comparehist is used to detect the two image histogram bus distance, xuefu Class C means algorithm for image color clustering, ccv extract clothes image consistent
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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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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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对图像进行聚类分割可以实现直方图变化灰度值变化-Clustering for image segmentation can be implemented histogram gray value changes
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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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