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)


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
Number of pages5
Publication statusPublished - 1994
Externally publishedYes
EventIEEE International Joint Conference on Neural Networks 1994 - Orlando, United States of America
Duration: 27 Jun 199429 Jun 1994


ConferenceIEEE International Joint Conference on Neural Networks 1994
Abbreviated titleIJCNN 1994
Country/TerritoryUnited States of America

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