Using Zernike moments in the process of automatic identification
Journal Title: Autobusy. Technika, Eksploatacja, Systemy Transportowe - Year 2017, Vol 208, Issue 6
Abstract
In this article, the problem of automatic identification with Zernike moments is presented. Due to their orthogonal properties they store image information with minimal redundancy and are rotational invariant, what make them accurate tool in systems of automatic identification of images. Content Based Image Retrieval system is presented, and two phases (offline and online) of this system are described in detail. Practical experiments are conducted on two datasets – standard MPEG-7 dataset and customized sprite dataset, howing promising results.
Authors and Affiliations
ARTUR ZACNIEWSKI
Keywords
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