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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Automated characterization of bacteria in confocal microscope images
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Felida Roa, Grupo de Bioingeniería, Universidad Nacional Experimental del Táchira, Decanato de Investigación, San Cristóbal 5001, Venezuela
Antonio Bravo, Grupo de Bioingeniería, Universidad Nacional Experimental del Táchira, Decanato de Investigación, San Cristóbal 5001, Venezuela
Alexis Valery, Laboratorio de Biofertilizantes, Universidad Nacional Experimental del Táchira, Decanato de Investigación, San Cristóbal 5001, Venezuela
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.
Citation:
Felida Roa, Antonio Bravo, Alexis Valery, "Automated characterization of bacteria in confocal microscope images," cvprw, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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