Digital Topology software should reflect the generality of the underlying mathematics: mapping the latter to the former requires genericity. By designing generic solutions, one can effectively reuse digital topology data structures and algorithms. We propose an image processing framework focused on the Generic Programming paradigm in which an algorithm on the paper can be turned into a single code, written once and usable with various input types. This approach enables users to design and implement new methods at a lower cost, try cross-domain experiments and help generalize results. © 2012 Springer-Verlag.
CITATION STYLE
Levillain, R., Géraud, T., & Najman, L. (2012). Writing reusable digital topology algorithms in a generic image processing framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7346 LNCS, pp. 140–153). https://doi.org/10.1007/978-3-642-32313-3_10
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