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Segmentation of microscope images of living cells |
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| Authors: | Anna Korzynska Wojciech Strojny Andreas Hoppe David Wertheim Pawel Hoser | ||
| Affiliation: | (1) Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, ul.Ksiecia Trojdena 4, 02-109 Warszawa, Poland;(2) Faculty of Computing, Information Systems and Mathematics, Kingston University, Penrhyn Road, Kingston upon Thames, Surrey, KT1 2EE, UK | ||
| Abstract: | This paper describes a segmentation method combining a texture based technique with a contour based method. The technique is designed to enable the study of cell behaviour over time by segmenting brightfield microscope image sequences. The technique was tested on artificial images, based on images of living cells and on real sequences acquired from microscope observations of neutrophils and lymphocytes as well as on a sequence of MRI images. The results of the segmentation are compared with the results of the watershed and snake segmentation methods. The results show that the method is both effective and practical.
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| Keywords: | Segmentation Microscope images Texture Edge detection Cell movement | ||
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