Classification of elongated and contracted images using new regular moments

Classification of elongated and contracted images using new regular moments

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-direction...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Raveendran, P., Jegannathan, S., Omatu, S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Computer simulation
Equations
Image coding
Image recognition
Information science
Intelligent systems
Mirrors
Pattern recognition
Reflection
Systems engineering and theory
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Beschreibung
Zusammenfassung: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.< >
DOI:10.1109/ICNN.1994.374880