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Analyse d’images pour l’étude de la dynamique de cellules souches
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Fabien Saint-Roch
Section Informatique, EPFL |
Diploma project
March 2004 |
Abstract |
| In this project, we present two global methods for the tracking of high-density similar objects, mainly biological. In the first section, we deal with an active contour tracking method, based on Spline-based Snakes developed in the Laboratoire d'Imagerie Biomédicale. We show that such a method allows an easy segmentation and is an efficient method for the tracking of huge objects. Nevertheless this method is not efficient for small structures. We then address a more generic method based on the construction of a trajectory tree. This method allows determining the optimal path for each image object. However this method is strictly dependant on the segmentation quality. Therefore we propose several segmenting-tools that allow adapting the method to the most number of cases. Finally we show our results and the advantages of such a method opposed to a classic search Tree. |
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