Image indexing using moments and wavelets

M. K. Mandal, T. Aboulnasr, S. Panchanathan

Research output: Contribution to journalConference article

Abstract

Histogram comparison is a popular technique for image and video indexing. The complexity of the histogram technique can be reduced by representing the histogram by its moments. In this paper, we propose several techniques to improve the performance of basic histogram/moment-based technique. First, we propose to use orthogonal Legendre moments. Being orthogonal, Legendre moments provide superior performance compared to regular moments at a similar complexity. Secondly, we propose to compare the histograms of wavelet coefficients, in addition to the baseline histogram technique. The directional information provided by the wavelet bands enhances the performance of the histogram-based indexing technique.

Original languageEnglish (US)
Pages (from-to)242-243
Number of pages2
JournalDigest of Technical Papers - IEEE International Conference on Consumer Electronics
StatePublished - Jan 1 1996
Externally publishedYes
EventProceedings of the 1996 IEEE International Conference on Consumer Electronics - Rosemont, IL, USA
Duration: Jun 5 1996Jun 7 1996

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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