Title :
IEE Colloquium on `Neural Networks for Image Processing Applications´ (Digest No.186)
Abstract :
The following topics were dealt with: Home Office automatic fingerprint pattern classification project; integrated Boolean neural networks for feature extraction and image classification; parallel distributed computation in vision; object recognition using artificial neural networks (NN); cascade correlation NN for cervical cells classification; image processing and multimode fibre optic strain sensor; log-likelihood cost function for learning in feed-forward networks; real time learning in NN for image compression; logical NN for single photon emission tomography image analysis; and BTC technique using Hopfield NN
Keywords :
computerised tomography; data compression; encoding; fibre optic sensors; image processing; learning systems; neural nets; parallel processing; pattern recognition; strain measurement; BTC; Home Office; Hopfield neural network; artificial neural networks; automatic fingerprint pattern classification; block truncation coding; cascade correlation neural network; cervical cells classification; computer vision; feature extraction; feed-forward networks; image analysis; image classification; image compression; image processing; integrated Boolean neural networks; log-likelihood cost function; logical neural network; multimode fibre optic strain sensor; object recognition; parallel distributed computation; real time learning; single photon emission tomography;
Conference_Titel :
Neural Networks for Image Processing Applications, IEE Colloquium on
Conference_Location :
London
