Image thinning using pulse coupled neural network
Pattern Recognition Letters
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
Fingerprint orientation field estimation using ridge projection
Pattern Recognition
Image Processing Applications with a PCNN
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Review article: Review of pulse-coupled neural networks
Image and Vision Computing
Real-time robot path planning based on a modified pulse-coupled neural network model
IEEE Transactions on Neural Networks
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
A novel neural network method for shortest path tree computation
Applied Soft Computing
Attention selection using global topological properties based on pulse coupled neural network
Computer Vision and Image Understanding
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Describes an object detection system based on pulse coupled neural networks. The system is designed and implemented to illustrate the power, flexibility and potential the pulse coupled neural networks have in real-time image processing. In the preprocessing stage, a pulse coupled neural network suppresses noise by smoothing the input image. In the segmentation stage, a second pulse coupled neural-network iteratively segments the input image. During each iteration, with the help of a control module, the segmentation network deletes regions that do not satisfy the retention criteria from further processing and produces an improved segmentation of the retained image. In the final stage each group of connected regions that satisfies the detection criteria is identified as an instance of the object of interest