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Proceedings Article

The selected examples of the application of computer image analysis in the assessment of environmental quality

[+] Author Affiliations
Damian Janczak, Robert Mazur, Piotr Boniecki, Jacek Dach, Jacek Przybyl, Maciej Pawlak, Krzysztof Pilarski, Wojciech Czekala

Poznan Univ. of Life Sciences (Poland)

Piotr Lewicki

Cracow Univ. of Technology (Poland)

Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88783R (July 19, 2013); doi:10.1117/12.2031069
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From Conference Volume 8878

  • Fifth International Conference on Digital Image Processing (ICDIP 2013)
  • Yulin Wang; Xie Yi
  • Beijing, China | April 21, 2013

abstract

The environmental monitoring (EM) is an essential part of protection of the environment, most of the methods of environmental protection based on visual techniques or physico-chemical and biochemical measurements. The automation of traditional methods proceeds at an accelerating rate, modern laboratories prefer this type of tools to conduct a more comprehensive assessment and online monitoring. The application of computer image analysis methods in biomonitoring brings to this discipline the opportunity to develop innovative tools that allow for more precise sensitive and quantified assessment of monitored processes. The application of techniques based on computer image processing technology will dominate in the future and very comfortable and intuitive tool for researchers in the study of the components of the environment quality. The article presents some methods of automation the acute toxicity bioassay based on the application of computational methods. © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Damian Janczak ; Piotr Lewicki ; Robert Mazur ; Piotr Boniecki ; Jacek Dach, et al.
" The selected examples of the application of computer image analysis in the assessment of environmental quality ", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88783R (July 19, 2013); doi:10.1117/12.2031069; http://dx.doi.org/10.1117/12.2031069


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