Relaxation labelling
From HandWiki - Reading time: 1 min
Relaxation labelling is an image treatment methodology. Its goal is to associate a label to the pixels of a given image or nodes of a given graph.[1]
See also
References
- ↑ A. Dave Marshall; Ralph R. Martin (1992), Computer vision, models, and inspection, World Scientific, pp. 149, ISBN 978-981-02-0772-4, https://books.google.com/books?id=dg1v_11HUywC&pg=PA149
Further reading
- Marcello Pelillo (1997). "The dynamics of nonlinear relaxation labeling processes". Journal of Mathematical Imaging and Vision 7 (4): 309–323. doi:10.1023/A:1008255111261. (Full text: [1])
- Kuner, Peter; Ueberreiter, Birgit (1988). "Pattern Recognition by Graph Matching – Combinatorial Versus Continuous Optimization". International Journal of Pattern Recognition and Artificial Intelligence 02 (3): 527–542. doi:10.1142/S0218001488000303. http://www.worldscinet.com/ijprai/02/0203/S0218001488000303.html. Retrieved January 3, 2012. (Full text: [2])
- Andrew Lewis; Sanaz Mostaghim; Marcus Randall (2009), Biologically-inspired Optimisation Methods: Parallel Algorithms, Systems and Applications, Springer, p. 110, ISBN 978-3-642-01261-7, https://books.google.com/books?id=kM5qHIcOeqkC&pg=PA110
- Terry Caelli; Walter F. Bischof (1997), Machine learning and image interpretation, Springer, p. 160, ISBN 978-0-306-45761-6, https://books.google.com/books?id=VveHkjf7Kw0C&pg=PA160
 |  |
Licensed under CC BY-SA 3.0 | Source: https://handwiki.org/wiki/Relaxation_labelling10 views | Status: cached on September 16 2024 18:30:33↧ Download this article as ZWI file
EncycloReader
is supported by the 
KSF