Automated characterization of bacteria in confocal microscope images

Felida Roa, Antonio Bravo, Alexis Valery
2008 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops  
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
more » ... ults with respect to results obtained manually by the expert.
doi:10.1109/cvprw.2008.4563026 dblp:conf/cvpr/RoaBV08 fatcat:twr2afyavzb5fh3karbjikptum