生物学启发的边缘检测

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI:10.1109/ISDA.2011.6121755

D. Kerr, S. Coleman, T. McGinnity, Qingxiang Wu, Marine Clogenson

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引用次数: 10

摘要

受人类视觉系统的结构和行为的启发，我们提出了一种使用尖峰神经网络和生物学上合理的六边形像素排列进行边缘检测的方法。将标准数字图像转换为六边形像素表示，然后使用具有六边形接受域的尖峰神经网络进行处理。并与在标准矩形图像上实现的感受野进行了比较。结果表明，使用六角形感受野比使用标准矩形感受野的性能有所提高

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Biologically inspired edge detection

Inspired by the structure and behaviour of the human visual system, we present an approach to edge detection using spiking neural networks and a biologically plausible hexagonal pixel arrangement. Standard digital images are converted into a hexagonal pixel representation and then processed using a spiking neural network with hexagonal shaped receptive fields. The performance is compared with receptive fields implemented on standard rectangular images. Results illustrate that, using hexagonal shaped receptive fields, performance is improved over standard rectangular shaped receptive fields

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2011 11th International Conference on Intelligent Systems Design and Applications

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