Image analysis using Hahn moments

Pew Thian Yap; Raveendran Paramesran; Seng Huat Ong

doi:10.1109/TPAMI.2007.70709

Image analysis using Hahn moments

Pew Thian Yap, Raveendran Paramesran, Seng Huat Ong

Research output: Contribution to journal › Article › Research › peer-review

189 Citations (Scopus)

Abstract

This paper shows how Hahn moments provide a unified understanding of the recently introduced Chebyshev and Krawtchouk moments. The two latter moments can be obtained as particular cases of Hahn moments with the appropriate parameter settings, and this fact implies that Hahn moments encompass all their properties. The aim of this paper is twofold: 1) To show how Hahn moments, as a generalization of Chebyshev and Krawtchouk moments, can be used for global and local feature extraction, and 2) to show how Hahn moments can be incorporated into the framework of normalized convolution to analyze local structures of irregularly sampled signals.

Original language	English
Pages (from-to)	2057-2062
Number of pages	6
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	29
Issue number	11
DOIs	https://doi.org/10.1109/TPAMI.2007.70709
Publication status	Published - Nov 2007
Externally published	Yes

Keywords

Discrete orthogonal polynomials
Hahn moments
Hahn polynomials
Normalized convolution

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10.1109/TPAMI.2007.70709

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keywords = "Discrete orthogonal polynomials, Hahn moments, Hahn polynomials, Normalized convolution",

author = "Yap, {Pew Thian} and Raveendran Paramesran and Ong, {Seng Huat}",

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KW - Normalized convolution

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Image analysis using Hahn moments

Abstract

Keywords

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