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Adaptive lifting for shape-based image retrieval

✍ Scribed by P.J. Oonincx; P.M. de Zeeuw

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
241 KB
Volume
36
Category
Article
ISSN
0031-3203

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✦ Synopsis

We propose to use adaptive wavelet lifting for image retrieval systems that are based on shape detection and multiresolution structures of objects in a database against a background of texture. To measure the performance of our approach, feature vectors are computed based on moment invariants of detail coe cients produced by the adaptive lifting scheme and retrieval rates are obtained by measuring distances between these vectors. Retrieval rates are compared with the rates obtained when using non-adaptive wavelet ΓΏltering as a preprocessing step. A synthetic database is created for this simulation.

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Effective invariant features for shape-based image retrieval
✍ Shan Li; Moon-Chuen Lee; Donald Adjeroh πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 343 KB

## Abstract The success of content‐based image retrieval (CBIR) relies critically on the ability to find effective image features to represent the database images. The shape of an object is a fundamental image feature and belongs to one of the most important image features used in CBIR. In this art