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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人工神经网络用于图像分割的matlab程序代码，此程序分割的是车牌图像,Artificial neural network for image segmentation matlab code, this procedure is the license plate image segmentation
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matlab模糊聚类算法进行图像分割的源程序,matlab fuzzy clustering algorithm for image segmentation source code
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C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
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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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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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describes selforganizing feature maps which describes the clustering and compression
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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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usefull k-mean algorithm developed for image clustering using java
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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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本程序实现了采用聚类法对图像进行分割，给出了图像分割前后的直方图，程序内有详细的程序说明和例图像-This program was realized using clustering method for image segmentation is presented, and the histogram image segmentation, procedure in detail program
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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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基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
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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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