Rotation Moment Invariant Feature Extraction Techniques for Image Matching

Yi Qiang Lai

doi:10.4028/www.scientific.net/AMM.721.775

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 721Rotation Moment Invariant Feature Extraction...

Rotation Moment Invariant Feature Extraction Techniques for Image Matching

Abstract:

In recently years, extracting images invariance features are gaining more attention in image matching field. Various types of methods have been used to match image successfully in a number of applications. But in mostly literatures, the rotation moment invariant properties of these invariants have not been studied widely. In this paper, we present a novel method based on Polar Harmonic Transforms (PHTs) which is consisted of a set of orthogonal projection bases to extract rotation moment invariant features. The experimental results show that the kernel computation of PHTs is simple and image features is extracted accurately in image matching. Hence polar harmonic transforms have provided a powerful tool for image matching.

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Periodical:

Applied Mechanics and Materials (Volume 721)

Pages:

775-778

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.721.775

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Online since:

December 2014

Authors:

Yi Qiang Lai*

Keywords:

Extracting Invariance Features, Image Matching, Polar Harmonic Transforms, Rotation Moment Invariant

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