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文中的方法是把图像分块,小波分解得到低频分量、高频分量,然后计算每一块的对比度,把图像块划分为清晰块、模糊块,把清晰块和模糊块相邻的区域定义为边界区域,融合时,直接选取清晰块作为融合后的相应块,对于边界区域,在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then
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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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image segmentation: fuzzy c-mean
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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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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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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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模糊C均值聚类,通过设置不同的灰度,可将彩色图像分成若干区域,达到分类的目的。-Fuzzy C means clustering, by setting different grayscale, color images can be divided into several regions, to achieve the purpose of classification.
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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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A java implementation of the Fuzzy Connectedness image segmentation algorithm. It was tested for IVUS images segmentation.
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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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非局部加权模糊C均值聚类图像分割Non-locally weighted fuzzy C-means image segmentation-Non-locally weighted fuzzy C-means image segmentation
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Segmentation of MRI using fuzzy connectedne-Segmentation of MRI using fuzzy connectedness
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著名面向对象遥感处理软件eCognition中关于muti-resolution的经典文献,是学习模糊分割的重要资料。-Famous object-oriented remote sensing processing software eCognition in the muti-resolution on the classic literature, is the study of fuzzy segmentation of the important information.
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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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模糊聚类的图像分割 C-均值聚类 FCM-Fuzzy clustering image segmentation
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一种新的快速迷糊C均值聚类图像的分割算法。对于模糊聚类的图像分割的速度慢的这一缺陷进行了改进。-A new fast confused C clustering image mean segmentation algorithm. For fuzzy clustering image segmentation speed slow this defect was improved.
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this package provides ehe fuzzy c means segmentation algorithm and its input type.. source code is also availble
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直方图自适应模糊分割算法,基于图像直方图统计信息的模糊分割算法,算法简单,速度快-Histogram adaptive fuzzy segmentation algorithm, based on image histogram statistics of the fuzzy segmentation algorithm, algorithm is simple, fast
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自己编写模糊聚类的图像分割,图像处理课程的作业,能分割车牌图和细胞图-Write your own fuzzy clustering image segmentation, image processing course of assignments, to license plate image and cell image segmentation
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图像分割中使用模糊聚类方法的一些文章,希望对大家有用-Image segmentation using fuzzy clustering method some articles, I hope useful for
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