Time-varying cellular neural network based morphological image processing

Author

Al-Ani, N.K. ; Kacprzak, Tomasz

Author_Institution

Inst. of Electron., Tech. Univ. Lodz

fYear

2000

fDate

2000

Firstpage

87

Lastpage

92

Abstract

Time-varying cellular neural network is proposed for the morphological image processing and analysis. It has the ability to extract features, describe shapes and recognize patterns. The skeletonization of images, in additional to the four basic binary mathematical morphology operators: dilation, erosion, opening and closing are tested. The tasks template design and computer simulation results are given

Keywords

cellular neural nets; feature extraction; image processing; mathematical morphology; closing; computer simulation; dilation; erosion; feature extraction; image skeletonization; morphological image analysis; morphological image processing; opening; pattern recognition; shape description; template design; time-varying cellular neural network; Application software; Cellular neural networks; Image analysis; Image processing; Linear matrix inequalities; Morphological operations; Morphology; Shape; Time varying systems; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on

Conference_Location

Catania

Print_ISBN

0-7803-6344-2

Type

conf

DOI

10.1109/CNNA.2000.876826

Filename

876826