Octagonal distances for digital pictures
Information Sciences: an International Journal
On approximating Euclidean metrics by digital distances in 2D and 3D
Pattern Recognition Letters
Fast computation of cross-sections of 3D objects from their Medical Axis Transforms
Pattern Recognition Letters
Automated Positioning of Overlapping Eye Fundus Images
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Sparse object representations by digital distance functions
DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
Linear combination of norms in improving approximation of Euclidean norm
Pattern Recognition Letters
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Medial axis transform (MAT) is well known for object representation. It is interesting to explore its use in different kinds of computations. In this paper an algorithm has been proposed for computation of normals at the boundaries of two-dimensional objects based on their MATs. In this technique, there is no requirement of linking boundary points during the computation compared to other existing techniques. The added advantage in the computation is that the computation can be restricted purely in the integer domain.