Evaluation of contents-based image retrieval methods for a database of logos on drug tablets

Zeno J. Geradts; Huub Hardy; Anneke Poortman; Jurrien Bijhold

doi:10.1117/12.417574

21 February 2001 Evaluation of contents-based image retrieval methods for a database of logos on drug tablets

Zeno J. Geradts, Huub Hardy, Anneke Poortman, Jurrien Bijhold

Proceedings Volume 4232, Enabling Technologies for Law Enforcement and Security; (2001) https://doi.org/10.1117/12.417574
Event: Enabling Technologies for Law Enforcement, 2000, Boston, MA, United States

Abstract

In this research an evaluation has been made of the different ways of contents based image retrieval of logos of drug tablets. On a database of 432 illicitly produced tablets (mostly containing MDMA), we have compared different retrieval methods. Two of these methods were available from commercial packages, QBIC and Imatch, where the implementation of the contents based image retrieval methods are not exactly known. We compared the results for this database with the MPEG-7 shape comparison methods, which are the contour-shape, bounding box and region-based shape methods. In addition, we have tested the log polar method that is available from our own research.

Citation Download Citation

Zeno J. Geradts, Huub Hardy, Anneke Poortman, and Jurrien Bijhold "Evaluation of contents-based image retrieval methods for a database of logos on drug tablets", Proc. SPIE 4232, Enabling Technologies for Law Enforcement and Security, (21 February 2001); https://doi.org/10.1117/12.417574

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