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Proceedings Paper

Adaptive wavelet lifting for image retrieval
Author(s): Patrick J. Oonincx; Paul M. de Zeeuw
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Paper Abstract

We build a feature vector that can be used for content-based image retrieval of grayscale images of objects against a background of texture. The feature vector is based on moment invariants of detail coefficients produced by the lifting scheme. The prediction filters in this scheme are chosen adaptively: low order (small stencils) near edges and high order elsewhere. The aim is to retrieve similar images of an object irrespective of translation, rotation, reflection or resizing of the object, light conditions and the background texture. We present preliminary results.

Paper Details

Date Published: 5 December 2001
PDF: 12 pages
Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); doi: 10.1117/12.449737
Show Author Affiliations
Patrick J. Oonincx, National Research Institute for Mathematics and Computer Science (Netherlands)
Paul M. de Zeeuw, National Research Institute for Mathematics and Computer Science (Netherlands)


Published in SPIE Proceedings Vol. 4478:
Wavelets: Applications in Signal and Image Processing IX
Andrew F. Laine; Michael A. Unser; Akram Aldroubi, Editor(s)

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