Best-fit Ellipse Concept from the Second Order Moments for Object Retrieval

K. L. Lau, W. C. Siu, Ngai Fong Law

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Hu moment invariants are a popular tool for shape description in areas such as object identification and character recognition. The original formulation consists of a set of seven moment invariants for characterizing object features, which are independent of translation, scale, and rotation. In order to provide a meaningful description of object shape, it is important to understand the meaning of these moments. However, there are few pertinent studies. This paper firstly provides an interpretation of the second order-based moment invariants using the best-fit ellipse formulation. Then a new formulation is suggested for image retrieval. Our theoretical analysis shows that the first invariant measures the total spread of the shape relative to its area square while the second invariant measures the degree of elongation of a best-fit ellipse on the shape. Six different shapes and objects with Gaussian noise were used to confirm the findings. The ratio of major and minor axes from the best-fit ellipse were applied for describing the global information of the shape. Results of the experimental work show that this is an efficient framework for object searching and the computational complexity can be significantly reduced.
Original languageEnglish
Title of host publicationProceedings of the First International Conference on Information Technology and Applications (ICITA 2002)
Pages397-402
Number of pages6
Publication statusPublished - 1 Dec 2002
EventProceedings of the First International Conference on Information Technology and Applications (ICITA 2002) - Bathurst, Australia
Duration: 25 Nov 200228 Nov 2002

Conference

ConferenceProceedings of the First International Conference on Information Technology and Applications (ICITA 2002)
Country/TerritoryAustralia
CityBathurst
Period25/11/0228/11/02

Keywords

  • Moment Invariants
  • Object Searching
  • Pattern Recognition
  • Shape Analysis

ASJC Scopus subject areas

  • Computer Science(all)

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