Image analysis for airborne reconnaissance and missile applications
Pattern Recognition Letters
Natural Computing: an international journal
Image thinning using pulse coupled neural network
Pattern Recognition Letters
Digital Mammogram Segmentation Algorithm Using Pulse Coupled Neural Networks
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
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Neural Processing Letters
Image Processing Using Pulse-Coupled Neural Networks
Image Processing Using Pulse-Coupled Neural Networks
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Pattern Recognition Letters
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Neurocomputing
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Pattern Recognition Letters
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
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Neural Processing Letters
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CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 06
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AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 03
Multi-focus image fusion using PCNN
Pattern Recognition
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Neural Processing Letters
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
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CASON '10 Proceedings of the 2010 International Conference on Computational Aspects of Social Networks
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ICCIS '10 Proceedings of the 2010 International Conference on Computational and Information Sciences
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Mathematical and Computer Modelling: An International Journal
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IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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IEEE Transactions on Image Processing
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Applied Soft Computing
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IBICA '12 Proceedings of the 2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications
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This paper surveys the extensive usage of pulse coupled neural networks. The visual cortex system of mammalians was the backbone for the development of pulse coupled neural network. PCNN (Pulse Coupled Neural Networks) is unique from other techniques due to its synchronous pulsed output, adjustable threshold and controllable parameters. is Hence the uniqueness of this network utilized in the fields of image processing. The basic model of PCNN and the consecutive changes implemented, to strengthen the pulse coupled neural network are discussed initially. Then the applications of PCNN are broadly discussed. The other miscellaneous applications utilizing pulse coupled neural networks are thrown light in the last section.