Automatic camera parameters control under natural lighting conditions

Haitao Xiang, Lei Tian

Research output: Contribution to conferencePaper

Abstract

For machine-vision systems, the image quality is the major factor directly affects the final image processing results. Especially under the natural lighting conditions, image quality varies significantly as the light source condition changes. This light source condition changing is inevitable in crop field remote sensing applications. In this paper, an artificial intelligent algorithm was developed to realize automatic adjustment of the camera settings, such as the "gain" and "exposure time" to compensate the unstable ambient illumination for improving image quality. Therefore, we could detect as much information of the target as we desire. Using a DuncanTech MS4100 highresolution digital color and multispectral camera as the vision sensor, we implemented the real-time white balance of the image among three channels (blue/green, red, near-infrared) under different natural lighting conditions.

Original languageEnglish (US)
StatePublished - Dec 1 2005
Event2005 ASAE Annual International Meeting - Tampa, FL, United States
Duration: Jul 17 2005Jul 20 2005

Other

Other2005 ASAE Annual International Meeting
CountryUnited States
CityTampa, FL
Period7/17/057/20/05

Keywords

  • Adaptive neuro-fuzzy inference system
  • Artificial intelligent
  • Artificial neural network
  • Auto white balance
  • Machine vision
  • Remote sensing

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Bioengineering

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  • Cite this

    Xiang, H., & Tian, L. (2005). Automatic camera parameters control under natural lighting conditions. Paper presented at 2005 ASAE Annual International Meeting, Tampa, FL, United States.