Parallel texture analysis using high-order statistics and neural networks

H. Araujo, J. Dias, A. T. Almeida

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper we present a texture analysis and classification method based on the computation of high-order statistics of gray-levels or selected features. The computation of these high-order statistics can be performed in parallel in non-overlapping windows that cover the full image. Classification is performed by neural networks. In this extended summary results are presented for backpropagation networks only, but several other types of neural nets were also tested.

Original languageBritish English
Title of host publicationISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages401-404
Number of pages4
ISBN (Electronic)078031865X, 9780780318656
DOIs
StatePublished - 1994
Event1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994 - Hong Kong, Hong Kong
Duration: 13 Apr 199416 Apr 1994

Publication series

NameISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings

Conference

Conference1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994
Country/TerritoryHong Kong
CityHong Kong
Period13/04/9416/04/94

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