Title :
A homotopy continuation method for parameter estimation in MRF models and image restoration
Author :
Nanda, P.K. ; Desai, U.B. ; Poonacha, P.G.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
fDate :
30 May-2 Jun 1994
Abstract :
In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We also develop a joint parameter estimation and image restoration scheme where we have used a fairly general model involving the line fields and tested on a real image. Simulation results using gray level images are presented
Keywords :
Markov processes; image restoration; parameter estimation; probability; MRF models; Markov random field model; gray level images; homotopy continuation method; image restoration; line fields; parameter estimation; Annealing; Educational institutions; Image edge detection; Image restoration; Image segmentation; Lattices; Markov random fields; Parameter estimation; Power engineering and energy; Testing;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409161
