DocumentCode
2040860
Title
Binary image restoration using neural network models
Author
Xiao Su ; Tao Wang ; Xiaoliang Xing
Author_Institution
Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou, China
Volume
2
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
906
Abstract
We apply the mean field theory (MFT) neural network approach to the problem of binary image restoration. The MFT works extremely fast by using a deterministic equation in place of the stochastic relaxation characterized by the simulated annealing strategy. Some experimental results are recorded.<>
Keywords
image reconstruction; neural nets; MFT neural network approach; binary image restoration; deterministic equation; mean field theory; neural network models; simulated annealing strategy; stochastic relaxation; Computational modeling; Computer science; Energy states; Equations; Image restoration; Neural networks; Neurons; Pixel; Simulated annealing; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-1233-3
Type
conf
DOI
10.1109/TENCON.1993.320159
Filename
320159
Link To Document