Image analysis techniques in the study of slug behaviour

R. J. Kozłowski; J. Kozłowski; K. Przybył; G. Niedbała; W. Mueller; P. Okoń; D. Wojcieszak; K. Koszela; S. Kujawa

doi:10.1117/12.2244533

29 August 2016 Image analysis techniques in the study of slug behaviour

R. J. Kozłowski, J. Kozłowski, K. Przybył, G. Niedbała, W. Mueller, P. Okoń, D. Wojcieszak, K. Koszela, S. Kujawa

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100332I (2016) https://doi.org/10.1117/12.2244533
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

This paper describes the research, whose goal was to develop an effective method based on the image analysis techniques for the evaluation of the slugs behaviour in the laboratory studies. The main task of the developed computer method is to assist in evaluating the degree of slugs’ acceptance of different plant species and varieties as food and to evaluate the effectiveness of active substances used against slugs. The laboratory tests are conducted in a climate chamber, into which are placed containers with grazing slugs, leaf circles and a hiding place. A video camera is installed in each container to monitor the slugs’ activity. The data from the cameras are stored on hard disks connected to a digital recording device. The task of the proposed computer algorithms is to perform automatic analysis of the stored video material. Video image analysis can be used to determine parameters relating to the slugs’ daily activity, the speed and trajectory of their movement, and the rate and extent of the damage done to the leaves. This task is performed in several stages including: movement detection, object recognition, object tracking and determination of the quantity of leaf damage.

Citation Download Citation

R. J. Kozłowski, J. Kozłowski, K. Przybył, G. Niedbała, W. Mueller, P. Okoń, D. Wojcieszak, K. Koszela, and S. Kujawa "Image analysis techniques in the study of slug behaviour", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100332I (29 August 2016); https://doi.org/10.1117/12.2244533

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