Computer ScienceMathematics
DOI: 10.1109/iai.1994.336691

tlooto Summary

The authors construct a Gibbs distribution which models an image that consist of piecewise homogeneous regions by including different orders of neighbor interactions, and assess the adequacy of their model using a /spl chisup 2/ goodness-of-fit test.

Abstract

Abstract is not available.

Citation format

CHAN, M.; LEVITAN, E.; HERMAN, G. Image-modeling gibbs distributions for bayesian restoration. Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 1994: 7–12.