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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27307
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dc.contributor.authorMatuttis, Hans-Georg-
dc.contributor.authorHoller, Silvia-
dc.contributor.authorCasiraghi, Federica-
dc.contributor.authorSchneider, Johannes Josef-
dc.contributor.authorFaggian, Alessia-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.contributor.authorHanczyc, Martin Michael-
dc.date.accessioned2023-03-13T11:00:48Z-
dc.date.available2023-03-13T11:00:48Z-
dc.date.issued2023-01-22-
dc.identifier.isbn978-3-031-23928-1de_CH
dc.identifier.isbn978-3-031-23929-8de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27307-
dc.description.abstractWe explain how to optimize the image analysis of mixed clusters of red and green droplets in solvents with various degrees of sharpness, brightness, contrast and density. The circular Hough Transform is highly efficient for separated circles with reasonable background contrast, but not for large amounts of partially overlapping shapes, some of them blurred, as in the images of our dense droplet suspensions. We explain why standard approaches for image improvement fail and present a “shootout” approach, where already detected circles are masked, so that the removal of sharp outlines improves the relative optical quality of the remaining droplets. Nevertheless, for intrinsic reasons, there are limits to the accuracy of data which can be obtained on very dense clusters.de_CH
dc.language.isoende_CH
dc.publisherSpringerde_CH
dc.relation.ispartofseriesCommunications in Computer and Information Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectImage processingde_CH
dc.subjectHough transformde_CH
dc.subjectCluster of droplets in fluidsde_CH
dc.subject.ddc540: Chemiede_CH
dc.titleThe good, the bad and the ugly : droplet recognition by a “shootout”-heuristicsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
zhaw.publisher.placeChamde_CH
dc.identifier.doi10.1007/978-3-031-23929-8_5de_CH
dc.identifier.doi10.21256/zhaw-27307-
zhaw.conference.detailsXV Italian Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021de_CH
zhaw.funding.euinfo:eu-repo/grantAgreement/EC/H2020/824060//Artificial Cells with Distributed Cores to Decipher Protein Function/ACDCde_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end62de_CH
zhaw.pages.start51de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.series.number1722de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsArtificial Life and Evolutionary Computationde_CH
zhaw.funding.zhawACDC – Artificial Cells with Distributed Cores to Decipher Protein Functionde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Matuttis, H.-G., Holler, S., Casiraghi, F., Schneider, J. J., Faggian, A., Füchslin, R. M., & Hanczyc, M. M. (2023). The good, the bad and the ugly : droplet recognition by a “shootout”-heuristics [Conference paper]. Artificial Life and Evolutionary Computation, 51–62. https://doi.org/10.1007/978-3-031-23929-8_5
Matuttis, H.-G. et al. (2023) ‘The good, the bad and the ugly : droplet recognition by a “shootout”-heuristics’, in Artificial Life and Evolutionary Computation. Cham: Springer, pp. 51–62. Available at: https://doi.org/10.1007/978-3-031-23929-8_5.
H.-G. Matuttis et al., “The good, the bad and the ugly : droplet recognition by a “shootout”-heuristics,” in Artificial Life and Evolutionary Computation, Jan. 2023, pp. 51–62. doi: 10.1007/978-3-031-23929-8_5.
MATUTTIS, Hans-Georg, Silvia HOLLER, Federica CASIRAGHI, Johannes Josef SCHNEIDER, Alessia FAGGIAN, Rudolf Marcel FÜCHSLIN und Martin Michael HANCZYC, 2023. The good, the bad and the ugly : droplet recognition by a “shootout”-heuristics. In: Artificial Life and Evolutionary Computation. Conference paper. Cham: Springer. 22 Januar 2023. S. 51–62. ISBN 978-3-031-23928-1
Matuttis, Hans-Georg, Silvia Holler, Federica Casiraghi, Johannes Josef Schneider, Alessia Faggian, Rudolf Marcel Füchslin, and Martin Michael Hanczyc. 2023. “The Good, the Bad and the Ugly : Droplet Recognition by a “Shootout”-Heuristics.” Conference paper. In Artificial Life and Evolutionary Computation, 51–62. Cham: Springer. https://doi.org/10.1007/978-3-031-23929-8_5.
Matuttis, Hans-Georg, et al. “The Good, the Bad and the Ugly : Droplet Recognition by a “Shootout”-Heuristics.” Artificial Life and Evolutionary Computation, Springer, 2023, pp. 51–62, https://doi.org/10.1007/978-3-031-23929-8_5.


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