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Combinatorial properties of 2D discrete rigid transformations under pixel-invariance constraints

Phuc Ngo 1 Yukiko Kenmochi 1 Nicolas Passat 2, 3 Hugues Talbot 1
1 ligm - Laboratoire d'Informatique Gaspard-Monge
2 LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection
3 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804
Abstract : Rigid transformations are useful in a wide range of digital image processing applications. In this context, they are generally considered as continuous processes, followed by discretization of the results. In recent works, rigid transformations on ℤ^2 have been formulated as a fully discrete process. Following this paradigm, we investigate --from a combinatorial point of view-- the effects of pixel-invariance constraints on such transformations. In particular we describe the impact of these constraints on both the combinatorial structure of the transformation space and the algorithm leading to its generation.
Keywords : combinatorial structure discrete rigid transformation pixel-invariance constraints
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Submitted on : Thursday, February 15, 2018 - 11:54:18 AM
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Phuc Ngo, Yukiko Kenmochi, Nicolas Passat, Hugues Talbot. Combinatorial properties of 2D discrete rigid transformations under pixel-invariance constraints. International Workshop on Combinatorial Image Analysis (IWCIA), 2012, Austin, United States. pp.234-248, ⟨10.1007/978-3-642-34732-0_18⟩. ⟨hal-00790693⟩

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