Title :
Extracting focused object from defocused background using cellular neural networks
Author :
Yang, Xiou-Ping ; Yang, Tea ; Yang, Lin-Bao
Author_Institution :
Dept. of Fishery, Huazhang Agric. Univ., Wuhan, China
Abstract :
Cellular neural networks (CNN) are used to extract the focused objects from the defocused background. Five sets of templates are used to diminish the defocused background, to find the boundary of the focused region, to locate the region of the focused objects and to extract the focused objects. Simulated results shows that the methods works well
Keywords :
cellular neural nets; feature extraction; object detection; CNN; cellular neural networks; defocused background; focused object extraction; templates; Apertures; Cameras; Cellular neural networks; Focusing; Lenses; Nonlinear optics; Optical filters; Optical signal processing; Shape; Signal processing algorithms;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381633
