Texture classification, texture segmentation and text segmentation with discrete-time cellular neural networks

Author

Kellner, Andreas ; Magnussen, Holger ; Nossek, Josef A.

Author_Institution

Inst. for Network Theory & Circuit Design, Tech. Univ. Munchen, Germany

fYear

1994

fDate

18-21 Dec 1994

Firstpage

243

Lastpage

248

Abstract

Global Learning Algorithms presented in a companion paper are applied to practical classification and segmentation problems: Texture Classification and Texture Segmentation of artificial and natural textures, and Text Segmentation as a sub-problem of Page Layout Analysis. In all cases, DTCNN systems can solve the problem very well in spite of its only local interconnection structure

Keywords

cellular neural nets; image segmentation; image texture; DTCNN systems; Page Layout Analysis; discrete-time cellular neural networks; text segmentation; texture classification; texture segmentation; Cellular neural networks; Electronic mail; Feature extraction; Image segmentation; Image texture analysis; Limit-cycles; Nonlinear equations; Organizing; State feedback; Tellurium;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on

Conference_Location

Rome

Print_ISBN

0-7803-2070-0

Type

conf

DOI

10.1109/CNNA.1994.381672

Filename

381672

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2516453