Abstract
The PCNN can be a very powerful front-end processor for an image recognition system. This is not surprising since the PCNN is based on the biological version of a pre-processor. The PCNN has the ability to extract edge information, texture information, and to segment the image. This type of information is extremely useful for image recognition engines. The PCNN also has the advantage of being very generic. Very few changes (if any) to the PCNN are required to operate on different types of data. This is an advantage over previous image segmentation algorithms, which generally require information about the target before they are effective.
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© 2013 Springer-Verlag Berlin Heidelberg
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Lindblad, T., Kinser, J.M. (2013). Feedback and Isolation. In: Image Processing using Pulse-Coupled Neural Networks. Biological and Medical Physics, Biomedical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36877-6_6
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DOI: https://doi.org/10.1007/978-3-642-36877-6_6
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-36877-6
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