Title: A segmentation method for nuclei identification from sagittal images of Drosophila melanogaster embryos
Authors: de Sousa, Daniela Justiniano
Arruda Cardoso, Maria
Bisch, Paulo Mascarello
Pereira Lopes, Francisco José
Nassif Travençolo, Bruno Augusto
Citation: WSCG 2013: Full Papers Proceedings: 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in cooperation with EUROGRAPHICS Association, p. 133-142.
Issue Date: 2013
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2013/!_2013-WSCG-Full-proceedings.pdf
ISBN: 978-80-86943-74-9
Keywords: segmentace obrazu;sagitální snímky;octomilka obecná;embryo
Keywords in different language: image segmentation;sagittal images;drosophila melanogaster;embryo
Abstract: This paper proposes a segmentation method for sagittal images obtained from Drosophila melanogaster embryos at early stages of development. The proposed method operates in the spatial domain and uses traditional filters and segmentation techniques for image processing. However, one common problem encountered after the segmentation of sagittal images is the merged nuclei. In order to split these nuclei, our approach uses the curvature of the shape of the merged nuclei to find the regions of division between the nuclei. The proposed method was compared to other techniques and it achieved better results. In general, the obtained results have shown good performance and were able to identify individual nuclei, providing an efficient and accurate solution for segmentation of nuclei in images obtained from the sagittal plane of Drosophila embryos.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2013: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10603

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