Abstract
In this paper a methodology for processing automatically the digital images of plane sections of cork is presented. The purpose is twofold: firstly to segment the cells and secondly to characterize them geometrically and topologically. The algorithms developed are based on image analysis methods: two different approaches are presented, one based on mathematical morphology and the other based on pretopology notions. Tests were done using images taken from the tangential section of cork.
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© 1996 Kluwer Academic Publishers
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Pina, P., Selmaoui, N., Fortes, M.A. (1996). Geometrical and Topological Characterization of Cork Cells by Digital Image Analysis. In: Maragos, P., Schafer, R.W., Butt, M.A. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0469-2_54
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DOI: https://doi.org/10.1007/978-1-4613-0469-2_54
Publisher Name: Springer, Boston, MA
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