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Multi-scale filters implemented by cellular automaton for retinal layers modelling

机译:用于视网膜层建模的蜂窝自动机实现的多尺度滤波器

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摘要

In the following of our works, this article presents the use of cellular automata, as part of retinal layer modelling. The main innovation of this work is the computing method based on a new approach using multi-scale filtering without loss of resolution. This new approach provides us a solution to the full-resolution filtering method that was previously too expensive in computing time. More precisely the implementation of the retinal horizontal layer penalised us in our modelling of the whole retinal architecture. The efficiency of this multi-scale model is demonstrated, and the treatment is described and applied to static and dynamic stimuli of real scenes.
机译:在我们的作品之后,本文呈现使用蜂窝自动机,作为视网膜层建模的一部分。这项工作的主要创新是基于使用多尺度滤波的新方法的计算方法,而不会损失分辨率。这种新方法为我们提供了一个解决方案,以解决预先计算时间昂贵的全分辨率过滤方法。更精确地,视网膜水平层的实施在我们对整个视网膜架构的建模中受到惩罚。对该多尺度模型的效率进行了说明,并将处理描述并应用于真实场景的静态和动态刺激。

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