Paper
16 April 2014 The application of computer image analysis in life sciences and environmental engineering
R. Mazur, A. Lewicki, K. Przybył, M. Zaborowicz, K. Koszela, P. Boniecki, W. Mueller, B. Raba
Author Affiliations +
Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 915911 (2014) https://doi.org/10.1117/12.2064268
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece
Abstract
The main aim of the article was to present research on the application of computer image analysis in Life Science and Environmental Engineering. The authors used different methods of computer image analysis in developing of an innovative biotest in modern biomonitoring of water quality. Created tools were based on live organisms such as bioindicators Lemna minor L. and Hydra vulgaris Pallas as well as computer image analysis method in the assessment of negatives reactions during the exposition of the organisms to selected water toxicants. All of these methods belong to acute toxicity tests and are particularly essential in ecotoxicological assessment of water pollutants. Developed bioassays can be used not only in scientific research but are also applicable in environmental engineering and agriculture in the study of adverse effects on water quality of various compounds used in agriculture and industry.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Mazur, A. Lewicki, K. Przybył, M. Zaborowicz, K. Koszela, P. Boniecki, W. Mueller, and B. Raba "The application of computer image analysis in life sciences and environmental engineering", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915911 (16 April 2014); https://doi.org/10.1117/12.2064268
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image analysis

Toxicity

Image quality

Life sciences

Organisms

Error analysis

Evolutionary algorithms

Back to Top