| 基于领域灰度的模糊C均值图像分割算法 |
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| 引用本文： | 路彬彬.基于领域灰度的模糊C均值图像分割算法[J].光电子．激光,2011(3):469-473. |
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| 作者姓名： | 路彬彬 |
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| 作者单位： | 新疆大学信息科学与工程学院； |
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| 基金项目： | 科技部国际科技合作资助项目(2009DFA12870);;教育部促进与美大地区科研合作与高层次人才培养项目 |
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| 摘 要： | 模糊C均值(FCM)聚类算法对图像局部灰度值不均匀和噪声十分敏感,提出一种基于像素点灰度补偿校正和邻域信息的FCM新算法.通过预先假定像素点存在加性或乘性噪声,再将像素点的邻域信息引入到噪声模型,经反复迭代调整像素点的噪声值直至最优.在FCM反复迭代的过程中,对算法进行上下截集半模糊化处理,从而提高分类的速率和准确率....
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| 关 键 词： | 模糊C均值(FCM) 灰度不均匀 聚类 空间信息 航拍图像 |
A new Fuzzy C-means algorithm based on gray value compensation and spatial information for aeral image segmengtation |
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| LU Bin-bin,g.A new Fuzzy C-means algorithm based on gray value compensation and spatial information for aeral image segmengtation[J].Journal of Optoelectronics·laser,2011(3):469-473. |
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| Authors: | LU Bin-bin g |
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| Affiliation: | College of Information Science and Engineering,Xinjiang University,Urumuqi 830046,China; |
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| Abstract: | The fuzzy C-means(FCM) clustering algorithm has been proven to be effective for image segmentation.However,the standard FCM algorithm is sensitive to noise and gray inhomogeneity.An improved FCM-based algorithm is proposed in this paper,which firstly modeled the noise of an image as a slowly varying additive or multiplicative noise and iteratively approximate the gray inhomogeneity and noise areas by using the spatial neighborhood information.In this process,the threshold values of up and down c... |
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| Keywords: | fuzzy C-means(FCM) gray inhomogeneity clustering spatial information aerial image |
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