Classifier-based cell segmentation from confocal microscopy images

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Mónica Marcuzzo (Author) FEUP; Pedro Quelhas (Author) FEUP; Ana Campilho (Author) Other; Ana Maria Mendonça (Author) FEUP; Aurélio Campilho (Author) FEUP

Conference proceedings National

Title: Actas do RecPad 2008

Pages: 1-2

RecPad 2008

Coimbra - Portugal, 31 de Outubro de 2008

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Biomedical enginnering

Other information

Abstract (EN): In vivo observation and tracking of cell division in the Arabidopsis thaliana root meristem, by time-lapse confocal microscopy, is central to biology research. This paper discusses an automatic cell segmentation method, which selects the best cell candidates from a starting watershed segmentation. The selection of individual cells is obtained using a Support Vector Machine (SVM) classifier, based on the shape and edge strength of the cells¿ contour. The result is an improved segmentation, which is largely pruned of badly segmented cells

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 2