Topology-Preserving Rigid Transformation of 2D Digital Images
Phuc Linh Ngo, Nicolas Passat, Yukiko Kenmochi⋆, Hugues Talbot · IEEE Transactions on Image Processing · 2014
We provide conditions under which 2D digital images preserve their topological properties under rigid transformations. We consider the two most common digital topology models, namely dual adjacency and well-composedness. This paper leads to the proposal of optimal preprocessing strategies that ensure the topological invariance of images under arbitrary rigid transformations. These results and methods are proved to be valid for various kinds of images (binary, gray-level, label), thus providing generic and efficient tools, which can be used in particular in the context of image registration and warping.