Přístupnostní navigace
E-application
Search Search Close
Publication detail
LUDVÍK, J., VRBA, R.
Original Title
Image Processing Noise Removal using a Cellular Neural Network
Type
conference paper
Language
English
Original Abstract
The cellular neural network problem is nowadays a well-known theory. This paper describes some problems with a CMOS implementation on a chip. Some designs of a cell circuit is designed a simulated in HSpice simulator. The microelectronic structure is designed with these assumptions: simple structure, low number of transistor, small occupied area on the chip and as fast as possible. The structure is designed in the CMOS technology Alcatel Mietec 0.35mm. A functionality of the network for nose removing is proved on the network 3´3 cells and on the network 8´8 cells, both networks have the same neuron with fixed synaptic weights. This network 8´8 cells has an added functions – the horizontal and vertical line detection.
Key words in English
Authors
RIV year
2002
Released
1. 10. 2002
Publisher
WSEAS
Location
Rio De Janeiro
ISBN
960-8052-74-9
Book
2002 WSEAS International Conference on System Science, Applied Mathematics & Computer Science, and Power Engineering Systems
Pages from
2631
Pages to
2634
Pages count
4
BibTex
@inproceedings{BUT4653, author="Jan {Ludvík} and Radimír {Vrba}", title="Image Processing Noise Removal using a Cellular Neural Network", booktitle="2002 WSEAS International Conference on System Science, Applied Mathematics & Computer Science, and Power Engineering Systems", year="2002", pages="4", publisher="WSEAS", address="Rio De Janeiro", isbn="960-8052-74-9" }