A fast matching algorithm based on local gradient histograms

Daniel Miramontes-Jaramillo; Vitaly Kober

doi:10.1117/12.928678

15 October 2012 A fast matching algorithm based on local gradient histograms

Daniel Miramontes-Jaramillo, Vitaly Kober

Proceedings Volume 8499, Applications of Digital Image Processing XXXV; 849927 (2012) https://doi.org/10.1117/12.928678
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

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.

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Daniel Miramontes-Jaramillo and Vitaly Kober "A fast matching algorithm based on local gradient histograms", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 849927 (15 October 2012); https://doi.org/10.1117/12.928678

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KEYWORDS

Image filtering

Image processing

Computer simulations

Digital filtering

Gaussian filters

Interference (communication)

Algorithm development

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