Abstract
The Pulse Coupled Neural Network (PCNN) had been proposed as a model of visual cortex and a lot of applications to the image processing have been proposed recently. Authors also have been proposed Inhibitory Connected PCNN (IC-PCNN) which shows good performances for the color image processing. In our recent study, we had been shown that the IC-PCNN can obtain successful results for the color image segmentation. In this study, we show the effect of the inhibitory connections to the characteristics of synchronous firing assembly. Here we consider that the results will be a key to find appropriate values of inhibitory connections for the image processing using IC-PCNN. In simulations, we show that the valid domains of inhibitory connections for the color image segmentation exists.
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Images of the Ishihara color test are able to be found on web pages, for example, http://en.wikipedia.org/wiki/Ishihara_color_test http://www.toledo-bend.com/colorblind/Ishihara.htm etc
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Kurokawa, H., Yoshihara, M., Yonekawa, M. (2010). An Effect of Inhibitory Connections on Synchronous Firing Assembly in the Inhibitory Connected Pulse Coupled Neural Network. In: Wong, K.W., Mendis, B.S.U., Bouzerdoum, A. (eds) Neural Information Processing. Theory and Algorithms. ICONIP 2010. Lecture Notes in Computer Science, vol 6443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17537-4_23
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DOI: https://doi.org/10.1007/978-3-642-17537-4_23
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