Abstract
This paper presents a fuzzy control system of the exposure value (EV) of a digital camera. The intelligent controller considers fuzzy input variables, applies fuzzy rules and provides fuzzy and crisp results for the focal length, EV, aperture, and speed of a digital camera in an automatic way. The control system calculates the most appropriate solution considering the distance to the subject and the lighting conditions. The results obtained resemble the behavior of an intermediate level photographer. The prototype controller was developed with Xfuzzy and Java.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lee YM (1994) A fuzzy control processor for automatic focusing. IEEE Trans Consum Electron 40(2):138–144
Haruki T, Kikuchi K (1992) Video camera system using fuzzy logic. IEEE Trans Consum Electron 38(3):624, 634
Jiang T, Kuhnert K-D, Nguyen D, Kuhnert L (2011) Multiple templates auto exposure control based on luminance histogram for onboard camera. In: Proceedings of IEEE International Conference on computer science and automation engineering (CSAE), vol 3, pp 237–241, 10–12 June 2011
Shimizu S et al (1992) A new algorithm for exposure control based on fuzzy logic for video cameras. IEEE Trans Consum Electron 38(3):617–623
Lee JS et al (2001) An advanced video camera system with robust AF, AE and AWB control. IEEE Trans Consum Electron 47(3):694–699
Murakami M, Honda N (1996) An exposure control system of video cameras based on fuzzy logic using color information. In: Proceedings of 5th IEEE international conference on fuzzy Systems, vol 3, isssue 3, pp 2181–2187, 8–11 Sep 1996
Liang JY, Qin Y, Hong Z (2007) An auto-exposure algorithm for detecting high con-trast lighting conditions. In: Proceedings of ASICON, pp 725–728
Liu Y-C, Chan W-H, Chen Y-Q (1995) Automatic white balance for digital still camera. IEEE Trans Consum Electron 41(3):460, 466
Elamvazuthi I, Vasant P, Webb J (2009) The application of Mandani fuzzy model for auto zoom function of a digital camera. Appl Bioinf 1(4):122–191
Kuno T, Sugiura H, Matoba N (1998) A new automatic exposure system for digital still cameras. IEEE Trans Consum Electron 44(1):192–199
Pradera A (1997) El libro de la fotografía. Alianza Editorial
Weston C (2009) Domine la exposición digital. Index Book
Jantzen J (1998) Design of fuzzy controllers. Technical University of Denmark, Department of Automation. Technical report no 98-E 864
Santos M (2011) Un enfoque aplicado del control inteligente. RIAI 8:283–296
Xfuzzy Team (2013) Herramientas de CAD para lógica difusa. CNM IMSE. http://www2.imse-cnm.csic.es/Xfuzzy/index_sp.html
Xfuzzy Team (2013) XFL3 El lenguaje de especificación de Xfuzzy 3. http://www2.imse-cnm.csic.es/Xfuzzy/Xfuzzy_3.3/xfl/index_sp.html
Xfuzzy Team (2013) Entorno de desarrollo Xfuzzy 3. CNM IMSE. http://www2.imse-cnm.csic.es/Xfuzzy/Xfuzzy_3.3/tools/xfuzzy_sp.html
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Martínez, J., Santos, M., López, V. (2014). Photograph’s Exposure Control by Fuzzy Logic. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-54927-4_28
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54926-7
Online ISBN: 978-3-642-54927-4
eBook Packages: EngineeringEngineering (R0)