A region-based multi-sensor image fusion scheme using pulse-coupled neural network
Pattern Recognition Letters
A region-based multi-sensor image fusion scheme using pulse-coupled neural network
Pattern Recognition Letters
A Novel Pixel-Level and Feature-Level Combined Multisensor Image Fusion Scheme
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Wavelet differential neural network observer
IEEE Transactions on Neural Networks
A new image auto-segmentation algorithm based on PCNN
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
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Biologically inspired image/signal processing like the pulse coupled neural network (PCNN) and the wavelet (packet) transforms are described. The two methods are applied to two-dimensional data in order to demonstrate the features of each method, pinpoint differences as well as similarities. The inherent properties (with respect to filtering, segmentation, etc.) of the two approaches with respect to detectors for physics experiments as well as remote sensing are discussed