Classification of elongated and contracted images using new regular moments

P. Raveendran, S. Jegannathan, Sigeru Omatu

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)

Abstract

This paper presents a technique to classify images that have been elongated or contracted. The problem is formulated using conventional regular moments. It is shown that the conventional regular moment-invariants remain 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
Pages4154-4158
Number of pages5
DOIs
Publication statusPublished - 1994
Externally publishedYes
EventIEEE International Joint Conference on Neural Networks 1994 - Orlando, United States of America
Duration: 27 Jun 199429 Jun 1994

Conference

ConferenceIEEE International Joint Conference on Neural Networks 1994
Abbreviated titleIJCNN 1994
Country/TerritoryUnited States of America
CityOrlando
Period27/06/9429/06/94

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