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.
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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
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DOI: https://doi.org/10.1007/978-3-319-02931-3_58
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02930-6
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