Title :
Realizations and parameter estimation for line processes
Author :
Derin, Haluk ; Guler, Sadiye
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
Abstract :
The Markov line process that has been used in some image segmentation and restoration studies is investigated. Realizations from this model are presented for a wide range of parameter values, and the effects of certain parameters are studied. The maximum pseudolikelihood (MPL) estimation procedure is implemented for the Markov line process. The MPL procedure is applied to several images generated from the model as well as to a hand-drawn image and the edge-detector output of a natural image. It is expected that improved segmentation and restoration results can be obtained, if the Markov line process model is fine-tuned to the class of images under consideration, by estimating the parameters of some typical images in that class
Keywords :
Markov processes; parameter estimation; picture processing; signal synthesis; Markov line process; edge-detector output; hand-drawn image; image segmentation; maximum pseudolikelihood estimation; natural image; parameter estimation; Detectors; Geometry; Image edge detection; Image generation; Image restoration; Image segmentation; Lattices; Markov random fields; Parameter estimation; Pixel;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116002
