Classification of elongated and contracted images using new regular moments

P. Raveendran; S. Jegannathan; Sigeru Omatu

doi:10.1109/icnn.1994.374880

Classification of elongated and contracted images using new regular moments

P. Raveendran
, S. Jegannathan
, Sigeru Omatu

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	4154-4158
Number of pages	5
DOIs	https://doi.org/10.1109/icnn.1994.374880
Publication status	Published - 1994
Externally published	Yes
Event	IEEE International Joint Conference on Neural Networks 1994 - Orlando, United States of America Duration: 27 Jun 1994 → 29 Jun 1994

Conference

Conference	IEEE International Joint Conference on Neural Networks 1994
Abbreviated title	IJCNN 1994
Country/Territory	United States of America
City	Orlando
Period	27/06/94 → 29/06/94

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10.1109/icnn.1994.374880

Cite this

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title = "Classification of elongated and contracted images using new regular moments",

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.",

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doi = "10.1109/icnn.1994.374880",

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AU - Raveendran, P.

AU - Jegannathan, S.

AU - Omatu, Sigeru

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0028712076

U2 - 10.1109/icnn.1994.374880

DO - 10.1109/icnn.1994.374880

M3 - Paper

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SP - 4154

EP - 4158

T2 - IEEE International Joint Conference on Neural Networks 1994

Y2 - 27 June 1994 through 29 June 1994

ER -

Classification of elongated and contracted images using new regular moments

Abstract

Conference

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