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
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;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195244
