Adaptive wavelet lifting for image retrieval

Patrick J. Oonincx; Paul M. de Zeeuw

doi:10.1117/12.449737

5 December 2001 Adaptive wavelet lifting for image retrieval

Patrick J. Oonincx, Paul M. de Zeeuw

Proceedings Volume 4478, Wavelets: Applications in Signal and Image Processing IX; (2001) https://doi.org/10.1117/12.449737
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

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.

Citation Download Citation

Patrick J. Oonincx and Paul M. de Zeeuw "Adaptive wavelet lifting for image retrieval", Proc. SPIE 4478, Wavelets: Applications in Signal and Image Processing IX, (5 December 2001); https://doi.org/10.1117/12.449737

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