|N. Brieu, J. Serbanovic-Canic, A. Cvejic, D. Stemple, W. Ouwehand
, N. Navab, M. Groher
A dynamic texture approach to semi-automatic thrombosis segmentation in in-vivo microscopic video-sequences
Workshop on Microscopic Image Analysis and Application in Biology, (MIAAB 2009), Bethesda, MD (US), 3-4 September 2009 (bib)
|The larva of wild-type zebrafish is an excellent model to study clot formation, however, the analysis of respective microscopic image sequences mainly remains manual, thus tedious and error-prone. Despite the obvious benefit of automatic segmentation algorithms for biologists, no satisfactory solution exists yet, which is mainly due to inherent problems like high signal-to-noise ratio, low contrast, and motion perturbation. In this work we propose a semi-automatic segmentation algorithm, which combines a novel measure derived from dynamic textures, a temporal prior, and an edge-based refinement. With this mixture of time, texture, and gradients, we exploit the maximum range of temporal and spatial information and thus drive a contour-based segmentation to the accurate solution. Tests on a sequence of hand-labeled microscopic images demonstrate the merit of our approach.
|This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.