Using a Simple Color Constancy Method for Indoor and Outdoor Applications

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• 作者：Douglas Almonfrey ; Alexandre Konzen…
• 关键词：Image processing ; Computer vision ; Color constancy ; Mobile robotics ; Visual ; servo control
• 刊名：Journal of Control, Automation and Electrical Systems
• 出版年：2015
• 出版时间：October 2015
• 年：2015
• 卷：26
• 期：5
• 页码：493-505
• 全文大小：2,278 KB
• 参考文献：Almonfrey, D., & Vassallo, R. F. (2009) Controlador servo-visual aplicado ao l铆der de uma equipe de rob么s com controle de forma莽茫o centralizado. IX Simp贸sio Brasileiro de Automa莽茫o Inteligente (SBAI).
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• 作者单位：Douglas Almonfrey (1)
  Alexandre Konzen (2)
  Raquel Frizera Vassallo (2)
  Hans J枚rg Andreas Schneebeli (2)
  
  1. Ifes, Av. Vitoria, 1729, Vit贸ria, ES, Brazil
  2. UFES, Av. Fernando Ferrari, 514, Vit贸ria, ES, Brazil
  
• 刊物主题：Electrical Engineering; Control, Robotics, Mechatronics; Control; Robotics and Automation;
• 出版者：Springer US
• ISSN：2195-3899

文摘

Color constancy is a problem of hard solution, and most of existing theories are applied only to synthesized images, while others present a limited performance when applied to real images. In this paper, we apply and analyze a color constancy algorithm that is used with real images subjected to sudden changes in illumination, both in outdoor and indoor environments. In this algorithm, by knowing the colors of some points on the scene submitted to a standard illumination, scene image color correction is made so that it appears always to be under the standard illumination influence. The method employed in this paper is applied to some tasks, such as tracking colored targets, controlling a robot using visual information and pre-processing outdoor images to help on place characterization. Moreover, the algorithm implemented in this work is camera independent because it does not depend on the camera-sensitive responses. The only requirement is that the camera responses can be approximated by the CIE XYZ \(2^o\) standard observer functions. The experimental results are discussed and analyzed in order to evaluate the performance of the color constancy method. Keywords Image processing Computer vision Color constancy Mobile robotics Visual-servo control