DocumentCode
2560358
Title
Cellular neural networks for hexagonal image processing
Author
Lin, Chin-Teng ; Huang, Chao-Hui
Author_Institution
Dept. of Electr. & Control Eng., National Chiao-Tung Univ., Hsinchu, Taiwan
fYear
2005
fDate
28-30 May 2005
Firstpage
81
Lastpage
84
Abstract
In this paper, cellular neural networks (CNNs) for hexagonal image processing (HIP) frameworks has been proposed. In this paper, we combine two distinguished researches; one is CNNs, which provide efficient computing abilities. The other is HIP, which contains most compact structure. Both CNNs and HIP are inspired by biology. CNNs present the behaviors which are most similar to the retina of human´s eyes, and HIP presents architecture which is also most similar to the distribution of cells on the retina.
Keywords
cellular neural nets; image processing; cellular neural networks; hexagonal image processing; Biology computing; Cellular neural networks; Chaos; Cities and towns; Control engineering; Hip; Image processing; Image sampling; Neural networks; Retina;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2005 9th International Workshop on
Print_ISBN
0-7803-9185-3
Type
conf
DOI
10.1109/CNNA.2005.1543166
Filename
1543166
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