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| Hauptseite > Publikationsdatenbank > Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay > print |
| Hauptseite > Publikationsdatenbank > Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay > print |
| 001 | 826187 | ||
| 005 | 20210129225536.0 | ||
| 024 | 7 | _ | |a 10.1109/ICMLA.2016.0133 |2 doi |
| 024 | 7 | _ | |a 2128/13829 |2 Handle |
| 037 | _ | _ | |a FZJ-2017-00433 |
| 100 | 1 | _ | |a Bodenstein, Christian |0 P:(DE-Juel1)164357 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 15th IEEE International Conference on Machine Learning and Applications |g IEEE ICMLA'16 |c Anaheim |d 2016-12-18 - 2016-12-20 |w USA |
| 245 | _ | _ | |a Automatic Object Detection using DBSCAN for Counting Intoxicated Flies in the FLORIDA Assay |
| 260 | _ | _ | |c 2017 |b IEEE |
| 295 | 1 | 0 | |a ISBN 978-1-5090-6167-9 |
| 300 | _ | _ | |a 746 - 751 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
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| 520 | _ | _ | |a In this paper, we propose an instrumentation andcomputer vision pipeline that allows automatic object detectionon images taken from multiple experimental set ups. We demon-strate the approach by autonomously counting intoxicated fliesin the FLORIDA assay. The assay measures the effect of ethanolexposure onto the ability of a vinegar fly Drosophila melanogasterto right itself. The analysis consists of a three-step approach.First, obtaining an image of a large set of individual experiments,second, identify areas containing a single experiment, and third,discover the searched objects within the experiment. For theanalysis we facilitate well-known computer vision and machinelearning algorithms—namely color segmentation, threshold imag-ing and DBSCAN. The automation of the experiment enables anunprecedented reproducibility and consistency, while significantlydecreasing the manual labor. |
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| 700 | 1 | _ | |a Götz, Markus |0 P:(DE-Juel1)162390 |b 1 |
| 700 | 1 | _ | |a Jansen, Annika |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Scholz, Henrike |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Riedel, Morris |0 P:(DE-Juel1)132239 |b 4 |
| 773 | _ | _ | |a 10.1109/ICMLA.2016.0133 |
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