搜索资源列表
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5下载：
利用模糊C均值图像分割,此为matlab环境下的仿真代码.,Using fuzzy C-means image segmentation, this matlab code simulation environment.
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上传内容为模糊C均值图像分割方法的Matlab程序源代码,From the contents of the fuzzy C-means image segmentation of the Matlab source code
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转载一个基于FCM的图像分割matlab源代码，初学者可以参考。,Reprint of an FCM-based image segmentation matlab source code, can refer to beginners.
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这是我们的数字图像处理的大作业，用模糊聚类的方法做的图像分割，希望对大家有用，谢谢！-This is our large digital image processing operations, with the fuzzy clustering method to do image segmentation, hope for all of us, thank you!
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用matlab实现了FCM图像分割，分割效果较好。有说明-Matlab achieved using FCM image segmentation, segmentation better. Described
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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图像分割 fcm图像分割-FCM FCM image segmentation 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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fcm医学图像分割算法，适应于不规则医学图像的分割，已经调试成功，可以运行，很好。相信会对您有帮助。-fcm medical image segmentation algorithm, adapted to irregular medical image segmentation, has been successful debugging, you can run, very good. Believe will help you.
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模糊c均值算法，该代码可实现脑肿瘤的分割，效果不错。代码中的GUI直接运行好像有问题，要重新编译。-this code is about FCM.it can carry out the segmentation of brain tumor .the GUI need to compile at the beginning and cannot use it directly
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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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FCM是一种实用的算法，在医学图像分割中被广泛应用，有很多的改进措施，本程序是基于FCM来分割MRI人脑图像-MRI brain segmentation using FCM
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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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针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。-For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into bl
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自己写的分割脑组织的程序，用FCM方法分割，可以直接运行-Write their own brain tissue segmentation procedure, using FCM segmentation method can be run directly
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此代码为模糊C均值聚类的图象分割算法的MATLAB实现（与kmeans方法有所不同）-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
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FCM分割图像软件为matlab，对目标图像进行分割(FCM segmentation image software for MATLAB, the target image segmentation)
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可直接调用matlab自带的fcm函数做图像分割，并给出了分割效果图(It can directly call Matlab's own FCM function to do image segmentation, and gives the segmentation effect picture)
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