Publication detail
Image Processing Noise Removal using a Cellular Neural Network
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
Image Processing Noise Removal using a Cellular Neural Network
Authors
LUDVÍK, J., VRBA, R.
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"
}