Abstract
This paper presents a semi-automatic method for segmentation of digital images. The segmentation method is based on snakes and a novel implementation of the snake evolution algorithm is presented. Analytical expressions describing the snake evolution are derived using the Fourier transform. These expressions can be sampled and used in a fast algorithm for snake propagation. Experiments are carried out on images of histopathological tissue sections and the results are very promising. In particular the method is able to cope with overlapping nuclei.
This work has been supported by the Swedish Research Council, project 621-2001-358
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© 2003 Springer-Verlag Berlin Heidelberg
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Karlsson, A., Stråhlén, K., Heyden, A. (2003). Segmentation of Histopathological Section Using Snakes. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_79
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DOI: https://doi.org/10.1007/3-540-45103-X_79
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