DocumentCode
1503186
Title
Inherent features of wavelets and pulse coupled networks
Author
Lindblad, Thomas ; Kinser, Jason M.
Author_Institution
Dept. of Phys., R. Inst. of Technol., Stockholm, Sweden
Volume
10
Issue
3
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
607
Lastpage
614
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
Keywords
image processing; neural nets; wavelet transforms; 2D data; PCNN; filtering; packet transforms; physics experiments; pulse coupled neural network; remote sensing; segmentation; wavelet transforms; Biological systems; Books; Continuous wavelet transforms; Detectors; Discrete wavelet transforms; Filtering; Neural networks; Physics; Remote sensing; Wavelet transforms;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.761719
Filename
761719
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