王海军, 张文婷, 贺三维, 邓羽. 利用元胞自动机和模糊C均值进行图像分割[J]. 武汉大学学报 ( 信息科学版), 2010, 35(11): 1288-1291.
引用本文: 王海军, 张文婷, 贺三维, 邓羽. 利用元胞自动机和模糊C均值进行图像分割[J]. 武汉大学学报 ( 信息科学版), 2010, 35(11): 1288-1291.
WANG Haijun, ZHANG Wenting, HE Sanwei, DENG Yu. An Image Segmentation Method Based on Cellular Automata and Fuzzy C-means[J]. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1288-1291.
Citation: WANG Haijun, ZHANG Wenting, HE Sanwei, DENG Yu. An Image Segmentation Method Based on Cellular Automata and Fuzzy C-means[J]. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1288-1291.

利用元胞自动机和模糊C均值进行图像分割

An Image Segmentation Method Based on Cellular Automata and Fuzzy C-means

  • 摘要: 提出了一种基于元胞自动机和模糊C均值思想的图像分割方法。该方法以模糊C均值算法为基础定义目标函数,以灰度级为对象,应用一维元胞自动机自迭代求取最小目标函数,实现对图像的初步分割;在此基础上,以二维空间邻域信息对原分割结果进行净化。该方法不仅可以用于普通灰度图像的分割,也可用于遥感影像图的分割。

     

    Abstract: We propose an image segmentation method based on cellular automata and fuzzy C-means(FCM).The method defines the objective function based on FCM and takes gray level as the object to calculate the minimum objective function by application of one-dimensional cellular automata's self-iteration,realizing the preliminary image segmentation;on that basis,it revises original segmentation results with two-dimensional spatial information of neighborhood.This method can be used for image segmentation not only in grayscale images but also in RS image.

     

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