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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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模糊聚类的图像分割,用matlab语言编写实现模糊聚类的图象分割。,Fuzzy clustering image segmentation, matlab language used to achieve fuzzy clustering image segmentation.
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图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值,Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans
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基于改进模糊聚类算法鲁棒的图像分割 对噪声图像提出的一种改进算法,Based on robust fuzzy clustering algorithm to improve the image segmentation
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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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基于二维灰度直方图的双阈值最大模糊熵图像分割法源代码，VC++编写-Based on two-dimensional histogram of the dual-threshold maximum fuzzy entropy image segmentation method source code, VC++ to prepare
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K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
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二型模糊聚类算法实现医学脑部组织图像分割-The algorithm of type-2 fuzzy clustering achieved the segmentation of medical 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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图像分割 模糊聚类分割算法 通过MATLAB实现的C聚类分割算法，输入分割类别数。可以得到分割后的图像对比-Image segmentation algorithm based on fuzzy clustering partition
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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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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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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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利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。-The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network trainin
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在单层模糊图像增强算法的基础上的一种改进图像分割分法-In the single-layer fuzzy image enhancement algorithm based on a points system to improve image segmentation
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采用模糊聚类算法和加核模糊聚类算法进行医学图像的分割。采用matlab编程，界面处理较好。
-Using fuzzy clustering algorithm and processing of nuclear fuzzy clustering algorithm for medical image segmentation. Using matlab programming, interface, better handling.
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fuzzy-c-mean image segmentation
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采用基于模糊连通度图像分割算法，对象进行分割。-Connectivity based fuzzy image segmentation, object segmentation.
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A modified fuzzy c-means image segmentation algorithm for use with uneven illumination patterns and implemention by matlab
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利用模糊集对图像进行分割，非常有用的程序。-fuzzy image segmentation
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