Neural network based textural labeling of images in multimedia applications

Karkanis, S.A. and Magoulas, George and Grigoriadou, M. and Karras, D.A. (1999) Neural network based textural labeling of images in multimedia applications. In: UNSPECIFIED (ed.) 25th EUROMICRO '99 Conference, Informatics: Theory and Practice for the New Millenium. IEEE Computer Society. ISBN 0769503217.

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Official URL: https://doi.org/10.1109/EURMIC.1999.794805

Abstract

In this paper the use of multilayer perceptron type neural networks in the characterization of images by texture content is investigated. The paper is focused on the effects of textural feature extraction methods on the network architecture, training performance and generalization capability when applied to indexing of images in multimedia image databases. An in depth experimental study is conducted comparing several well known textural feature extraction techniques along with a novel discrete wavelet transform based methodology. It is demonstrated that the proposed technique leads to the design and selection of multilayer perceptron architectures with the best texture classification accuracy.

Metadata

Item Type:	Book Section
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	06 Jul 2021 12:01
Last Modified:	09 Aug 2023 12:51
URI:	https://eprints.bbk.ac.uk/id/eprint/45003

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