A study on a local descriptor and entropy-based similarity measure for object recognition system being robust to local illumination change
Jeong-Eun Yang, Seung-Yong Yang, Seok-Keun Hong, Seok-Je Cho · Journal of Advanced Marine Engineering and Technology · 2014
In this paper, we propose a local descriptor and a similarity measure that is robust to radiometic variations. The pro- posed 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 val- idate with experimental results on some images and we confirm that the proposed algorithm is more superior than conventional