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Proceedings Paper

A fast matching algorithm based on local gradient histograms
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Paper Abstract

Image matching is an important task in image processing. Basically two different problems are distinguished: detection of a reference image in a scene and estimation of its exact position. Recently many matching algorithms have been proposed. In this work, we propose a hybrid matching algorithm based on recursive calculation of local gradient histograms and pyramidal representation of matched images. The proposed algorithm is fast and invariant to affine transformations such as rotation, translation, and scaling. Computer simulation results obtained with the suggested algorithm are presented and compared with those of common matching techniques.

Paper Details

Date Published: 15 October 2012
PDF: 8 pages
Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 849927 (15 October 2012); doi: 10.1117/12.928678
Show Author Affiliations
Daniel Miramontes-Jaramillo, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)


Published in SPIE Proceedings Vol. 8499:
Applications of Digital Image Processing XXXV
Andrew G. Tescher, Editor(s)

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