Analysis of filtering algorithms and searching for objects on the video image during the "Morris water maze" and "open field" experiments

Kseniia Ezhova; Andrey Veremenko; Ksenia Baranova; Anastasia Tropova

doi:10.1117/12.2525804

21 June 2019 Analysis of filtering algorithms and searching for objects on the video image during the "Morris water maze" and "open field" experiments

Kseniia Ezhova, Andrey Veremenko, Ksenia Baranova, Anastasia Tropova

Author Affiliations +

Proceedings Volume 11061, Automated Visual Inspection and Machine Vision III; 110610F (2019) https://doi.org/10.1117/12.2525804
Event: SPIE Optical Metrology, 2019, Munich, Germany

Abstract

The paper discusses the video processing methods needed to partially automate the processing of results and conduct the "Morris Water Maze" and "Open Field" experiments to study the behavior of laboratory mice depending on various external factors. The software part of the work was done in the C ++ programming language in the QtCreator editor using the computer vision library OpenCV 3.2.

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Kseniia Ezhova, Andrey Veremenko, Ksenia Baranova, and Anastasia Tropova "Analysis of filtering algorithms and searching for objects on the video image during the "Morris water maze" and "open field" experiments", Proc. SPIE 11061, Automated Visual Inspection and Machine Vision III, 110610F (21 June 2019); https://doi.org/10.1117/12.2525804

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