This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Relaxation: Evaluation and Applications
April 1981 (vol. 3 no. 4)
pp. 459-469
Gyorgy Fekete, Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742.
Jan-Olof Eklundh, National Defense Research Institute, Linköping, Sweden; Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742.
Azriel Rosenfeld, Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742.
Probabilistic relaxation labeling processes are iterative parallel schemes that use contextual information to reduce local ambiguities. The behavior of these processes can be described by examining the rates of change and entropies of the probability vectors at each iteration. Examples are given comparing three relaxation processes as applied to several basic image analysis tasks.
Citation:
Gyorgy Fekete, Jan-Olof Eklundh, Azriel Rosenfeld, "Relaxation: Evaluation and Applications," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 3, no. 4, pp. 459-469, April 1981, doi:10.1109/TPAMI.1981.4767131
Usage of this product signifies your acceptance of the Terms of Use.