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Proceedings Paper

A robust HOG-based descriptor for pattern recognition
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Paper Abstract

The Histogram of Oriented Gradients (HOG) is a popular feature descriptor used in computer vision and image processing. The technique counts occurrences of gradient orientation in localized portions of an image. The descriptor is sensible to the presence in images of noise, nonuniform illumination, and low contrast. In this work, we propose a robust HOG-based descriptor using the local energy model and phase congruency approach. Computer simulation results are presented for recognition of objects in images affected by additive noise, nonuniform illumination, and geometric distortions using the proposed and conventional HOG descriptors.

Paper Details

Date Published: 27 September 2016
PDF: 7 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712A (27 September 2016); doi: 10.1117/12.2237963
Show Author Affiliations
Julia Diaz-Escobar, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Chelyabinsk State Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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