TY - GEN
T1 - Hidden Markov fields and unsupervised segmentation of images
AU - Allagnat, Olivier
AU - Boucher, Jean Marc
AU - He, Dong Chen
AU - Pieczynski, Wojciech
N1 - Publisher Copyright:
© 1992 IEEE.
PY - 1992/1/1
Y1 - 1992/1/1
N2 - This paper deals with unsupervised Bayesian segmentation of images. We introduce a new algorithm based on a recent general method of estimation in the case of incomplete data (iterative conditional estimation). The efficiency of our method is compared with a recent algorithm based on the stochastic gradient by L. Younes. We give results of numerous simulations and an application to a real radar image is also derived.
AB - This paper deals with unsupervised Bayesian segmentation of images. We introduce a new algorithm based on a recent general method of estimation in the case of incomplete data (iterative conditional estimation). The efficiency of our method is compared with a recent algorithm based on the stochastic gradient by L. Younes. We give results of numerous simulations and an application to a real radar image is also derived.
UR - https://www.scopus.com/pages/publications/84973287805
U2 - 10.1109/ICPR.1992.201936
DO - 10.1109/ICPR.1992.201936
M3 - Conference contribution
AN - SCOPUS:84973287805
T3 - Proceedings - International Conference on Pattern Recognition
SP - 96
EP - 100
BT - IAPR 1992 - 11th IAPR International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IAPR International Conference on Pattern Recognition, IAPR 1992
Y2 - 30 August 1992 through 1 September 1992
ER -