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基于激发介质进行图像处理

Image Processing Based on Excitable Media

  • 摘要: 基于一种典型激发介质--BZ反应介质的特性来进行图像处理,探讨了描述BZ反应的Tyson模型的动力学特性,结合单扰动理论构建了二维细胞自动机,并将其应用于图像处理 .在实验中获得了边缘增强、灰度变换、正负模式翻转等多种图像处理结果,且所有这些结果在一次演化过程中即可全部获得.

     

    Abstract: A method based on a typical kind of excitable media—BZ reaction media is applied to image processing. The kinetics of Tyson model for describing BZ reaction is studied, then a two-dimensional cellular automata according to singular perturbation theory is constructed and applied to image processing. Experiment shows that a series of results such as edge enhancement, grayscale transformation, conversion between positive and negative pattern and so on can be obtained. Moreover, all these results can be got during one evolving process.

     

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