We describe a new approach to incorporate adaptivity into the partial differential equations (PDEs) of morphological dilation and erosion. By multiplication of the image gradient with a space-variant matrix, the speed of the evolution is locally adapted to the data. This is used to create anisotropic morphological evolutions that enhance coherent, flow-like image structures. We show that our adaptive method can be implemented by means of a simple modification of the classical Rouy-Tourin finite difference scheme. Numerical experiments confirm that the proposed dilations and erosions are capable of real anisotropic behaviour that can be used for closing interrupted lines. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Breuß, M., Burgeth, B., & Weickert, J. (2007). Anisotropic continuous-scale morphology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4478 LNCS, pp. 515–522). Springer Verlag. https://doi.org/10.1007/978-3-540-72849-8_65
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