Details

Autor(en) / Beteiligte

• Michelin, Gael
• Guignard, Leo
• Fiuza, Ulla-Maj
• Malandain, Gregoire

Titel

Embryo cell membranes reconstruction by tensor voting

Ist Teil von

• 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014, p.1259-1262

Ort / Verlag

IEEE

Erscheinungsjahr

2014

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Image-based studies of developing organs or embryos produce a huge quantity of data. To handle such high-throughput experimental protocols, automated computer-assisted methods are highly desirable. This article aims at designing an efficient cell segmentation method from microscopic images. The proposed approach is twofold: first, cell membranes are enhanced or extracted by the means of structure-based filters, and then perceptual grouping (i.e. tensor voting) allows to correct for segmentation gaps. To decrease the computational cost of this last step, we propose different methodologies to reduce the number of voters. Assessment on real data allows us to deduce the most efficient approach.