Inherent features of wavelets and pulse coupled networks.
作者信息
Lindblad T, Kinser J M
机构信息
Royal Institute of Technology, Department of Physics (Frescati), Stockholm S-104 05, Sweden.
出版信息
IEEE Trans Neural Netw. 1999;10(3):607-14. doi: 10.1109/72.761719.
PMID:18252560
Abstract
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.
摘要
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