Fast computation of exact Zernike moments using cascaded digital filters

Chern Loon Lim, Barmak Honarvar, Kim Han Thung, Raveendran Paramesran

Research output: Contribution to journalArticleResearchpeer-review

18 Citations (Scopus)

Abstract

Zernike moments have been extensively used and have received much research attention in a number of fields: object recognition, image reconstruction, image segmentation, edge detection and biomedical imaging. However, computation of these moments is time consuming. Thus, we present a fast computation technique to calculate exact Zernike moments by using cascaded digital filters. The novelty of the method proposed in this paper lies in the computation of exact geometric moments directly from digital filter outputs, without the need to first compute geometric moments. The mathematical relationship between digital filter outputs and exact geometric moments is derived and then they are used in the formulation of exact Zernike moments. A comparison of the speed of performance of the proposed algorithm with other state-of-the-art alternatives shows that the proposed algorithm betters current computation time and uses less memory.

Original languageEnglish
Pages (from-to)3638-3651
Number of pages14
JournalInformation Sciences
Volume181
Issue number17
DOIs
Publication statusPublished - 1 Sep 2011
Externally publishedYes

Keywords

  • Digital filters
  • Exact geometric moments
  • Exact Zernike moments
  • Fast computation
  • Geometric moments
  • Zernike moments

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