An irregular MRF region label model for multi-channel image segmentation

Pattern Recognition Letters

Volumn 18, Issue 11-13, 1997, Pages 1133-1142

  Smits, Paul C ^a   Dellepiane, Silvana G ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Adaptive neighbourhoods; Discontinuity adaptive models; Irregular Markov random fields; Multi image segmentation

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; IMAGE ANALYSIS; INFERENCE ENGINES; MARKOV PROCESSES; MATHEMATICAL MODELS;

ADAPTIVE NEIGHBOURHOODS; BAYESIAN INFERENCE; MARKOV RANDOM FIELD REGION LABEL MODEL;

IMAGE SEGMENTATION;

EID: 0031271064     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(97)00101-3     Document Type: Article

References (5)

1. Li, S.Z., 1995. On discontinuity-adaptive smoothness priors in computer vision. IEEE Trans. Pattern Anal. Machine Intell. 17 (6), 576-586.
2. Manjunath, B.S., Simchony, T., Chellappa, R., 1990. Stochastic and deterministic networks for texture segmentation. IEEE Trans. Acoust. Speech Signal Process. 38 (6), 1039-1049.
3. Pérez, P., Heitz, F., 1996. Restriction of a Markov random field on a graph and multiresolution statistical image modelling. IEEE Trans. Inform. Theory 42 (1), 180-190.
4. Rignot, E., Chellappa, R., 1992. Segmentation of polarimetric synthetic aperture radar data. IEEE Trans. Image Process. 1 (3), 281-300.
5. Smits, P.C., Dellepiane, S., 1997. Synthetic aperture radar image segmentation by a detail preserving Markov random field approach. IEEE Trans. Geoscience and Remote Sensing, in press.