| 释义 |
- References
- Further reading
{{orphan|date=May 2012}}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]References1. ^{{citation|author1=A. Dave Marshall|author2=Ralph R. Martin|title=Computer vision, models, and inspection|url=https://books.google.com/books?id=dg1v_11HUywC&pg=PA149|year=1992|publisher=World Scientific|isbn=978-981-02-0772-4|pages=149}}
Further reading- {{cite journal | title=The dynamics of nonlinear relaxation labeling processes |journal = Journal of Mathematical Imaging and Vision|volume = 7|issue = 4| year=1997 | author=Marcello Pelillo| pages=309–323| doi=10.1023/A:1008255111261 }} (Full text: )
- {{cite journal | url=http://www.worldscinet.com/ijprai/02/0203/S0218001488000303.html | title=Pattern Recognition by Graph Matching – Combinatorial Versus Continuous Optimization | journal=International Journal of Pattern Recognition and Artificial Intelligence | volume=02 | issue=3 | year=1988 | accessdate=January 3, 2012 |author1=Kuner, Peter |author2=Ueberreiter, Birgit | pages=527–542| doi=10.1142/S0218001488000303 }} (Full text: )
- {{citation|author1=Andrew Lewis|author2=Sanaz Mostaghim|author3=Marcus Randall|title=Biologically-inspired Optimisation Methods: Parallel Algorithms, Systems and Applications|url=https://books.google.com/books?id=kM5qHIcOeqkC&pg=PA110|year=2009|publisher=Springer|isbn=978-3-642-01261-7|page=110}}
- {{citation|author1=Terry Caelli|author2=Walter F. Bischof|title=Machine learning and image interpretation|url=https://books.google.com/books?id=VveHkjf7Kw0C&pg=PA160|year=1997|publisher=Springer|isbn=978-0-306-45761-6|page=160}}
{{Compu-graphics-stub}} 1 : Computer vision |