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http://dx.doi.org/10.5916/jkosme.2014.38.9.1112

A study on a local descriptor and entropy-based similarity measure for object recognition system being robust to local illumination change  

Yang, Jeong-Eun (Department of Control and Instrumental Engineering, Graduate School of Korea Maritime and Ocean University)
Yang, Seung-Yong (Department of Control and Instrumental Engineering, Graduate School of Korea Maritime and Ocean University)
Hong, Seok-Keun (Technology Institute, GMT Engineering)
Cho, Seok-Je (Division of Information Technology Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.38, no.9, 2014 , pp. 1112-1118 More about this Journal
Abstract
In this paper, we propose a local descriptor and a similarity measure that is robust to radiometic variations. The proposed local descriptor is made up Haar wavelet filter and it can contain frequency informations about the feature point and its surrounding pixels in fixed region, and it is able to describe feature point clearly under ununiform illumination condition. And a proposed similarity measure is combined with conventional entropy-based similarity and another similarities that is generated by local descriptor. It can reflect similarities between image regions accurately under radiometic illumination variations. We validate with experimental results on some images and we confirm that the proposed algorithm is more superior than conventional algorithms.
Keywords
Local descriptor; similarity measure; Haar wavelet filter; entropy;
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