DocumentCode :
3109207
Title :
Determination of cellular neural networks parameters for feature detection of two-dimensional images
Author :
Slot, Krzysztof
Author_Institution :
Inst. of Electron., Tech. Univ. of Lodz, Poland
fYear :
1990
fDate :
16-19 Dec 1990
Firstpage :
82
Lastpage :
91
Abstract :
Issues involved in cellular neural net design are discussed, and recommendations are made for parameter choice. Inherent errors of detection are pointed out and a method for their reduction is proposed. Complex signal processing in the net from the point of view of error occurrences is also discussed. A simple cell architecture is introduced, and its modification, appropriate for complex signal processing, is presented
Keywords :
neural nets; pattern recognition; picture processing; 2D images; cellular neural networks parameters; complex signal processing; detection error reduction; feature detection; Capacitance; Cellular neural networks; Circuit simulation; Computer vision; Equivalent circuits; Radiofrequency interference; Shape; Signal processing; Size control; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/CNNA.1990.207510
Filename :
207510
Link To Document :
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