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
fDate :
5/1/1999 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on
