Low-level image processing and edge enhancement using a self-organizing neural network
作者： A.P. Dhawan , T. Dufresne
DOI: 10.1109/IJCNN.1990.137613
关键词: Value (computer science) 、 Artificial neural network 、 Computer science 、 Computer vision 、 Artificial intelligence 、 Image (mathematics) 、 Pixel 、 Contrast (vision) 、 Image processing 、 Edge enhancement 、 Set (abstract data type)
摘要: A self-organizing artificial neural network has been described to enhance and restore gray-level images for applications in low-level image processing. The is by a set of interconnected neurons with their values equal the corresponding pixels. first-order second-order contrast links are defined among which analyzed change adaptive constrained environment. Each selected neuron only once per iteration, its value may be readjusted incrementing or decrementing current value. As result, at end each iteration data reorganized. structure algorithm proposed presented along various experimental results showing capability such
sci-hub.se 参考文章(7)
Kunihiko Fukushima, Sei Miyake, Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition Springer, Berlin, Heidelberg. pp. 267- 285 ,(1982) , 10.1007/978-3-642-46466-9_18
Zhou, Chellappa, Neural network algorithms for motion stereo international joint conference on neural network. pp. 251- 258 ,(1989) , 10.1109/IJCNN.1989.118707
Omori, Nagase, Image understanding by neuron network-representation and operation of internal image international joint conference on neural network. pp. 235- 240 ,(1989) , 10.1109/IJCNN.1989.118704
Y.-T. Zhou, R. Chellappa, A. Vaid, B.K. Jenkins, Image restoration using a neural network IEEE Transactions on Acoustics, Speech, and Signal Processing. ,vol. 36, pp. 1141- 1151 ,(1988) , 10.1109/29.1641
J.G. Daugman, Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression IEEE Transactions on Acoustics, Speech, and Signal Processing. ,vol. 36, pp. 1169- 1179 ,(1988) , 10.1109/29.1644
B. Widrow, R.G. Winter, R.A. Baxter, Layered neural nets for pattern recognition IEEE Transactions on Acoustics, Speech, and Signal Processing. ,vol. 36, pp. 1109- 1118 ,(1988) , 10.1109/29.1638
Gail A. Carpenter, Stephen Grossberg, System for self-organization of stable category recognition codes for analog input patterns Applied Optics. ,vol. 26, pp. 4919- 4930 ,(1987) , 10.1364/AO.26.004919