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Automated characterization of bacteria in confocal microscope images

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3 Author(s)
Roa, F. ; Grupo de Bioingenieria, Univ. Nac. Exp. del Tachira, San Cristobal ; Bravo, A. ; Valery, A.

The problem of bacteria characterization from images acquired in microscopy is considered. The proposed approach consists of four consecutive steps: 1) images enhancement; 2) segmentation based on Watershed algorithm; 3) optimization of the initial segmentation; 4) bacteria quantification using a template matching procedure. Additionally, a modified version of this first approach allows to characterize bacteria colonies. Finally, an analysis of results is performed by comparing the estimated results with respect to results obtained manually by the expert.

Published in:

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Date of Conference:

23-28 June 2008