Abstract
In this paper we implemented an Auto-exposure algorithm based on the False-position method in order to correctly expose the leather samples. Though we are doing this for the leather industry, we can directly use this false position based, auto exposure algorithm for the natural scenes. The main reason for choosing the False-position method is that, it converge the root values quickly when compared to bisection method. The implementation of our auto exposure algorithm is performed by using the point grey research programmable camera.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Muehlebach, M.: Camera Auto Exposure Control for VSLAM Applications. Autumn Term (2010)
Vuong, Q.K., Yun, S.H., Kim, S.: A New Auto Exposure System to Detect High Dynamic Range Conditions Using CMOS Technology. In: Third International Conference on Convergence and Hybrid Information Technology ICCIT 2008, November 11-13, vol. 1, pp. 577–580 (2008), doi:10.1109/ICCIT.2008.45ccc
Vuong, Q.K., Yun, S.-H., Kim, S.: A new auto exposure and auto white-balance algorithm to detect high dynamic range conditions using CMOS technology. In: Proceedings of the World Congress on Engineering and Computer Science. IEEE, San Francisco (2008)
Cho, M., Lee, S., Nam, B.D.: Fast auto-exposure algorithm based on numerical analysis. Electronic Imaging 1999. International Society for Optics and Photonics (1999)
Weisstein, E.W.: Method of False Position. From MathWorld–A Wolfram Web Resource, http://mathworld.wolfram.com/MethodofFalsePosition.html
http://www.ff.bg.ac.rs/Katedre/Nuklearna/bookcpdf/c9-2.pdf (link referred on June 19, 2013)
http://users.encs.concordia.ca/~kadem/CHAPTER%204.doc (link referred on June 19, 2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Kiran, B.R., Vardhan, G.V.N.A.H. (2014). A Fast Auto Exposure Algorithm for Industrial Applications Based on False-Position Method. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_58
Download citation
DOI: https://doi.org/10.1007/978-3-319-02931-3_58
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02930-6
Online ISBN: 978-3-319-02931-3
eBook Packages: EngineeringEngineering (R0)