Paper
14 September 1993 Introduction to Bayesian image analysis
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Abstract
The basic concepts in the application of Bayesian methods to image analysis are introduced. The Bayesian approach has benefits in image analysis and interpretation because it permits the use of prior knowledge concerning the situation under study. The fundamental ideas are illustrated with a number of examples ranging from a problem in one and two dimensions to large problems in image reconstruction that make use of sophisticated prior information.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenneth M. Hanson "Introduction to Bayesian image analysis", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154577
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Cited by 49 scholarly publications.
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KEYWORDS
Image analysis

Image processing

Data modeling

Image restoration

Error analysis

Binary data

Positron emission tomography

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