用于图像处理的脉冲耦合神经网络

H. Ranganath, G. Kuntimad, J.L. Johnson
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引用次数: 136

摘要

通过对猫和猴视觉皮层的研究,发展出了与传统人工神经元有显著区别的脉冲耦合神经元。脉冲耦合神经网络(PCNN)的建模是为了捕捉生物神经系统中图像解释过程的最新理解的本质。结果表明,脉冲耦合神经网络具有良好的图像平滑、图像分割和特征提取能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pulse coupled neural networks for image processing
Studies of cat's and monkey's visual cortex has led to the development of pulse coupled neurons which are significantly different from the conventional artificial neurons. Pulse coupled neural networks (PCNN) are modeled to capture the essence of recent understanding of image interpretation process in biological neural systems. It is shown that pulse coupled neural networks are capable of image smoothing, image segmentation and feature extraction.
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