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"
}