Title :
Non-Hopfield neuron network for visual texture boundary extraction
Author :
Levashov, O. ; Levashova, H.
Author_Institution :
Moscow State Univ. of Aviation Technol, Russia
Abstract :
Non-Hopfield approach to neuron network (NN) development is proposed based on results of the peripheral visual system neuron structure analysis. A 4-layered NN is described for real scene image processing and texture boundary extraction. The proposed NN corresponds to the lateral geniculate nucleus (LGN) level of a cat visual system.
Keywords :
computer vision; feature extraction; feedforward neural nets; image processing; image texture; cat visual system; multilayer neural network; neuron structure analysis; non-Hopfield neuron network; peripheral visual system; real scene image processing; visual texture boundary extraction; Computational modeling; Computer simulation; Computer vision; Data mining; Image processing; Layout; Logic; Neural networks; Neurons; Visual system;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.714164
