DocumentCode
3402815
Title
Stereo vision using pulse-coupled neural network
Author
Ogawa, Yuuki ; Ishimura, Kosei ; Wada, Mitsuo
Author_Institution
Chaotic Syst. Eng., Syst. & Inf. Eng., Hokkaido Univ., Japan
Volume
2
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
719
Abstract
In this paper; a neural network model based on bioptical visual cortex; which is called pulse-coupled neural network (PCNN), is investigated. We especially focus on the segmentation ability of the PCNN. A PCNN model with signal generator is proposed to improve the segmentation ability. Through experiments including stereo vision, it is shown that the proposed PCNN model is much effective.
Keywords
neural nets; stereo image processing; bioptical visual cortex; neural network model; pulse-coupled neural network; signal generator; stereo vision; Biological system modeling; Brain modeling; Chaos; Feature extraction; Image edge detection; Image segmentation; Neural networks; Neurons; Pixel; Stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195244
Filename
1195244
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