Skip to main content

Photograph’s Exposure Control by Fuzzy Logic

  • 1018 Accesses

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 279)


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.


  • Intelligent control
  • Fuzzy logic
  • Camera
  • Exposure value (EV)
  • Xfuzzy

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-642-54927-4_28
  • Chapter length: 11 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
USD   299.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-54927-4
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   379.99
Price excludes VAT (USA)
Fig. 1
Fig. 2
Fig. 3
Fig. 4


  1. Lee YM (1994) A fuzzy control processor for automatic focusing. IEEE Trans Consum Electron 40(2):138–144

    CrossRef  Google Scholar 

  2. Haruki T, Kikuchi K (1992) Video camera system using fuzzy logic. IEEE Trans Consum Electron 38(3):624, 634

    Google Scholar 

  3. 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

    Google Scholar 

  4. 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

    CrossRef  Google Scholar 

  5. 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

    CrossRef  Google Scholar 

  6. 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

    Google Scholar 

  7. 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

    Google Scholar 

  8. 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

    Google Scholar 

  9. 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

    Google Scholar 

  10. Kuno T, Sugiura H, Matoba N (1998) A new automatic exposure system for digital still cameras. IEEE Trans Consum Electron 44(1):192–199

    CrossRef  Google Scholar 

  11. Pradera A (1997) El libro de la fotografía. Alianza Editorial

    Google Scholar 

  12. Weston C (2009) Domine la exposición digital. Index Book

    Google Scholar 

  13. Jantzen J (1998) Design of fuzzy controllers. Technical University of Denmark, Department of Automation. Technical report no 98-E 864

    Google Scholar 

  14. Santos M (2011) Un enfoque aplicado del control inteligente. RIAI 8:283–296

    CrossRef  Google Scholar 

  15. Xfuzzy Team (2013) Herramientas de CAD para lógica difusa. CNM IMSE.

  16. Xfuzzy Team (2013) XFL3 El lenguaje de especificación de Xfuzzy 3.

  17. Xfuzzy Team (2013) Entorno de desarrollo Xfuzzy 3. CNM IMSE.

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to J. Martínez .

Editor information

Editors and Affiliations

Rights and permissions

Reprints 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.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

  • eBook Packages: EngineeringEngineering (R0)