Skip to Main content Skip to Navigation
Book sections

Discrete Topological Transformations for Image Processing

Abstract : Topology-based image processing operators usually aim at transforming an image while preserving its topological characteristics. This chapter reviews some approaches which lead to efficient and exact algorithms for topological transformations in 2D, 3D and grayscale images. Some transformations which modify topology in a controlled manner are also described. Finally, based on the framework of critical kernels, we show how to design a topologically sound parallel thinning algorithm guided by a priority function.
Document type :
Book sections
Complete list of metadata
Contributor : Michel Couprie Connect in order to contact the contributor
Submitted on : Monday, September 3, 2012 - 3:03:23 PM
Last modification on : Thursday, September 29, 2022 - 2:21:15 PM
Long-term archiving on: : Tuesday, December 4, 2012 - 3:41:41 AM


Files produced by the author(s)



Michel Couprie, Gilles Bertrand. Discrete Topological Transformations for Image Processing. Brimkov, Valentin E. and Barneva, Reneta P. Digital Geometry Algorithms, 2, Springer, pp.73-107, 2012, Lecture Notes in Computational Vision and Biomechanics, 978-94-007-4174-4. ⟨10.1007/978-94-007-4174-4_3⟩. ⟨hal-00727377⟩



Record views


Files downloads