Image indexing using translation and scale-invariant moments and wavelets

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

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations


Histogram comparison is a popular technique for image indexing. Given a query image, histogram-based techniques can retrieve similar images from a database, which were acquired under similar illumination levels. However, these techniques fail when images are acquired under different illumination conditions. In this paper, we propose two novel histogram-based techniques which are robust to the changes in illumination. First, we propose to employ moments of the image histogram which are invariant to translation and scaling of image gray levels. Secondly, we propose to compare the parameters of histograms of the wavelet subbands for indexing. These parameters are modified appropriately to counter the effect of changes in illumination. The proposed techniques are computationally inexpensive and can be easily integrated within a wavelet-based image coder.

Original languageEnglish (US)
Pages (from-to)380-389
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Jan 15 1997
Externally publishedYes
EventStorage and Retrieval for Image and Video Databases V 1997 - San Jose, United States
Duration: Feb 8 1997Feb 14 1997


  • Histogram
  • Image indexing
  • Legendre moments
  • Translation and scale invariance
  • Wavelets

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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