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Evaluation of the Hough and RANSAC methods for the detection of circles in biological tests

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dc.contributor.authorG. Forero, Manuel
dc.contributor.authorMedina, Laura A.
dc.contributor.authorHernández, Natalia C.
dc.contributor.authorMorera, Cristian M.
dc.date.accessioned2020-11-24T22:14:44Z
dc.date.available2020-11-24T22:14:44Z
dc.date.issued2020-08-24
dc.description.abstractIn the analysis of in vitro biological samples is very common to use Petri dishes, in which the samples are cultured. Likewise, in the study of mouse behavior and learning, the Morris test is employed, which consists of placing the animal in a circular pool to observe its behavior within it. In both cases, usually, the detection of each circle in images and videos is done manually, which makes the process long, tedious and imprecise. Currently, there are several image processing methods that allow the detection of lines, circles and other geometric shapes; the most well-known being the technique based on the Hough transform, which allows the detection of geometric shapes that can be expressed by a mathematical equation, and the Random Sample Consensus (RANSAC), a robust estimation algorithm that allows a mathematical model to be found from data contaminated with numerous values that do not fit the model. The precise location of the circle's position is very important, as it can seriously affect the detection and counting of samples on the Petri dishes and the measurement of mouse paths in the Morris test. Therefore, in this paper we evaluate and present the results obtained with these two techniques in synthetic images, for the detection of Petri dishes in biological images and the circular pool in Morris' test videos, measuring their computational efficiency and the error in the location of the circles.es_CO
dc.description.sponsorshipUniversidad de Ibaguées_CO
dc.identifier.citationManuel G. Forero, Laura A. Medina, Natalia C. Hernández, and Cristian M. Morera "Evaluation of the Hough and RANSAC methods for the detection of circles in biological tests", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115101Q (21 August 2020); https://doi.org/10.1117/12.2568818es_CO
dc.identifier.issn0277-786X
dc.identifier.urihttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/11510/115101Q/Evaluation-of-the-Hough-and-RANSAC-methods-for-the-detection/10.1117/12.2568818.short?webSyncID=ad059329-ad88-3c9d-902b-c9993ced268b&sessionGUID=ead49a28-531a-b0d3-a6b0-3c97c009b6bc
dc.language.isoenes_CO
dc.publisherProceedings of SPIE - The International Society for Optical Engineeringes_CO
dc.subjectHough Transformes_CO
dc.subjectRANSACes_CO
dc.subjectMorris testes_CO
dc.subjectCircle detectiones_CO
dc.subjectPetri dishes_CO
dc.subjectIn-vitro analysises_CO
dc.subjectBiological analysises_CO
dc.subjectBiological testes_CO
dc.titleEvaluation of the Hough and RANSAC methods for the detection of circles in biological testses_CO
dc.typeArticlees_CO
dspace.entity.typePublication
eperson.emailmanuel.forero@uniabgue.edu.coes_CO
eperson.emailmanuel.forero@uniabgue.edu.coes_CO
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