Publicación:
Comparison of cell contour closing methods in microscopy images

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dc.contributor.authorForero, Manuel G.
dc.contributor.authorLa Cruz, Alexandra
dc.contributor.authorEspañol, Jorge
dc.contributor.authorUrrego, Diego
dc.date.accessioned2020-11-17T22:02:56Z
dc.date.available2020-11-17T22:02:56Z
dc.date.issued2020-08-24
dc.description.abstractCell counting and tracking approaches are widely used in microscopy image processing. Cells may be of different shapes and may be very crowded or relatively close together. In both cases, the correct identification of each cell requires the detection and tracking of its contour. But, this is not always possible due to noise, image blurring from signal degradation during the acquisition process and staining problems. Generally, cell segmentation approaches use filtering techniques, Hough transform, combined with morphological operators to address this problem. However, usually, not all contours can be closed. Therefore, heuristic contour closing techniques have been employed to achieve better results. Despite being necessary, no comparative studies on this type of methods were found in the literature. For that reason, this paper compares three approaches to contour tracking and closing. Two of them use one end of a contour as a starting point and trace a path along the edge of the cell seeking to find another endpoint of the cell. This is done using the first or second ring of neighboring pixels around the starting point. The heuristics used are based on region growing taking the information from the first or second ring of neighboring pixels and keeping the direction along the plotted path. The third method employs a modification of Dijkstra's algorithm. This approach employs two seed points located at each possible end of the contour. This paper presents a description of these techniques and evaluates the results in microscopy images.es_CO
dc.description.sponsorshipUniversidad de Ibaguées_CO
dc.identifier.citationManuel G. Forero, Alexandra La Cruz, Jorge Español, and Diego Urrego "Comparison of cell contour closing methods in microscopy images", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115101N (21 August 2020); https://doi.org/10.1117/12.2568165es_CO
dc.identifier.issn0277-786X
dc.identifier.urihttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/11510/115101N/Comparison-of-cell-contour-closing-methods-in-microscopy-images/10.1117/12.2568165.short?webSyncID=d8e8abee-aed6-ae05-c117-aac5a9199362&sessionGUID=b9eb3b36-c8a9-5604-e3dd-821ae3dced0d
dc.language.isoenes_CO
dc.publisherProceedings of SPIE - The International Society for Optical Engineeringes_CO
dc.subjectCell trackinges_CO
dc.subjectCell countinges_CO
dc.subjectMicroscopy imageses_CO
dc.subjectContour closinges_CO
dc.subjectCell segmentationes_CO
dc.subjectCell detectiones_CO
dc.subjectBiological imageses_CO
dc.subjectCell detectiones_CO
dc.subjectDijkstra's algorithmes_CO
dc.titleComparison of cell contour closing methods in microscopy imageses_CO
dc.typeArticlees_CO
dspace.entity.typePublication
eperson.emailmanuel.forero@uniabgue.edu.coes_CO
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