Digital Image Processing
作者:
Julian Besag,
期刊:
Journal of Applied Statistics
(Taylor Available online 1989)
卷期:
Volume 16,
issue 3
页码: 395-407
ISSN:0266-4763
年代: 1989
DOI:10.1080/02664768900000049
出版商: Carfax Publishing Company
数据来源: Taylor
摘要:
Many of the tasks encountered in image processing can be considered as problems in statistical inference. In particular, they fit naturally into a subjectivist Bayesian framework. In this paper, we describe the Bayesian approach to image analysis. Numerical examples are not included but can be found among the references, in the previous Special Issue of this Journal and elsewhere. It is argued that the Bayesian approach, still in its infancy, has considerable potential for future development.
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