An effective method for illumination-invariant representation of color images

Authors:
Takahiko Horiuchi;Abdelhameed Ibrahim;Hideki Kadoi;Shoji Tominaga
Affiliations:
Graduate School of Advanced Integration Science, Chiba University, Inage-ku, Chiba, Japan;Graduate School of Advanced Integration Science, Chiba University, Inage-ku, Chiba, Japan, Faculty of Engineering, Mansoura University, Mansoura, Egypt;Graduate School of Advanced Integration Science, Chiba University, Inage-ku, Chiba, Japan;Graduate School of Advanced Integration Science, Chiba University, Inage-ku, Chiba, Japan
Venue:
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Year:
2012

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Abstract

This paper proposes a method for illumination-invariant representation of natural color images. The invariant representation is derived, not using spectral reflectance, but using only RGB camera outputs. We suppose that the materials of target objects are composed of dielectric or metal, and the surfaces include illumination effects such as highlight, gloss, or specularity. We preset the procedure for realizing the invariant representation in three steps: (1) detection of specular highlight, (2) illumination color estimation, and (3) invariant representation for reflectance color. The performance of the proposed method is examined in experiments using real-world objects including metals and dielectrics in detail. The limitation of the method is also discussed. Finally, the proposed representation is applied to the edge detection problem of natural color images.