Proposal of system for visual evaluation of lemna minor bioassays

Haffner, Oto; Kučera, Erik; Urminská, Barbora; Kozák, Štefan

doi:10.1109/cyberi.2018.8337538

Cited by 1 publication

(3 citation statements)

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“…Therefore, it is necessary to carefully check and detach the overlapping leaves before processing. More details of our proposed and used low-cost, reliable method and algorithm can be found in previous works [16][17][18].…”

Section: Discussionmentioning

confidence: 99%

“…In our previous work [16], we proposed the system for visual evaluation of the Lemna minor bioassays. In this paper, we will just describe the main algorithm of the proposed system.…”

Section: Image Processingmentioning

confidence: 99%

“…The system for visual evaluation of the Lemna minor bioassays mentioned in Section 4 and in our previous work [16] is protected by the utility model number 8230 by the Industrial Property Office of the Slovak Republic [18].…”

Section: Patentsmentioning

confidence: 99%

See 2 more Smart Citations

Lemna minor Bioassay Evaluation Using Computer Image Analysis

Haffner

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This article deals with using computer vision in the evaluation of the Lemna minor bioassay. According to the conventional method, the growth of Lemna minor mass is determined from the number of leaves grown. In this work, instead of counting individual leaves, we propose measuring the area occupied by the leaves using computer vision and compare the new approach with the conventional one. The bioassay is performed according to the ISO 20079 standard as a 168 h growth inhibition test; the aim of the experiment was to quantify the negative effects on the vegetative growth using two parameters—the number of leaves and the area occupied by the leaves. The method based on image processing was faster and also more precise since it enabled us to detect the negative effect of the tested substance on leave size, not only on their number. It can be concluded that the toxic effect has shown to be more significant when considering the leaves area rather than the number of leaves. Moreover, mistakes caused by human factor during leaves counting are eliminated using the computer vision based method.

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Section: Discussionmentioning

confidence: 99%

“…In our previous work [16], we proposed the system for visual evaluation of the Lemna minor bioassays. In this paper, we will just describe the main algorithm of the proposed system.…”

Section: Image Processingmentioning

confidence: 99%