New regular moment invariants to classify elongated and contracted images

P. Raveendran, S. Jegannathan, Sigeru Omatu

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

2 Citations (Scopus)

Abstract

This paper presents a technique to classify images that have been elongated or contracted. It is first shown that the conventional regular moment invariant remains no longer invariant when the image is scaled unequally in the x- and y-directions. A method is proposed to form moment invariants that do not change under such unequal scaling. Results of computer simulations for images are also included verifying the validity of the method proposed.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages2089-2092
Number of pages4
ISBN (Print)0780314212, 9780780314214
Publication statusPublished - 1993
Externally publishedYes
EventIEEE International Joint Conference on Neural Networks 1993 - Nagoya, Japan
Duration: 25 Oct 199329 Oct 1993

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume3

Conference

ConferenceIEEE International Joint Conference on Neural Networks 1993
Abbreviated titleIJCNN 1993
Country/TerritoryJapan
CityNagoya
Period25/10/9329/10/93

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