Image segmentation method based on fuzzy Markov random field
ZhaofengLi1,XiaoyanFeng1, LanqiLiu2
COMPUTER MODELLING & NEW TECHNOLOGIES2014 18(12B) 301-306
1Henan Institute of science and technology, Henan Xinxiang 453003, China
2Henan Universities of Economics and Law, Henan Zhengzhou 450046, China
Fuzzy theory is introduced into the Markov random field model, a kind of algorithm for image segmentation based on fuzzy MRF model is put forward. Firstly the definition of membership function is given. Then fuzzy prior distribution and likelihood distribution are given. The specific steps of segmentation algorithm based on fuzzy MRF model are carried out. The simulation results show that the proposed segmentation algorithm based on the fuzzy MRF model can better deal with the problems of overlapped gray, partial volume effect, and low contrast. It also has more accurate segmentation effect.