NDLI: Color Correction for Object Identification from Images with Different Color Illumination

Content Provider	IEEE Xplore Digital Library
Author	Yoo-Joo Choi Yu-Bu Lee We-Duke Cho
Copyright Year	2009
Abstract	This paper presents a novel color correction method for automatic detection of identical objects from images captured in different environments. The proposed method extracts illumination color features using the color board image captured in each illumination and defines conversion vectors from a source illumination to a target illumination in the pre-processing step. In the color correction step, we apply the conversion vectors to RGB elements of each pixel in the object image. In the experiments, we captured two images including a color palette and three target objects in different illumination conditions. We define one image as a source and the other as a target. Illumination conversion vectors for the color correction are defined based on the difference between two color palette images and applied to the source image. In order to evaluate the performance of the proposed color correction, we compared the color differences of identical objects in target, source and corrected images.
Starting Page	1598
Ending Page	1603
File Size	932614
Page Count	6
File Format	PDF
ISBN	9781424452095
DOI	10.1109/NCM.2009.87
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-25
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Color analysis Lighting Color Object identification Color correction
Content Type	Text
Resource Type	Article

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