Bayesian image processing of data from constrained source distributions-fuzzy pattern constraints
نویسنده
چکیده
A priori probability density functions characterising patterns which are imprecise spatially and with regard to amplitude (fuzzy pattern:;) and which are anticipated to be present in a radioisotopic source field were developed for use in Bayesian image processing ( B I P ) . Corresponding iterative imaging algorithms were derived using the expectation maximisation ( E M ) technique of Dempster er al. efpancl standard non-elpalgorithms were applied to computer generated and experimental radioisotope phantom imaging data. Improved results were obtained with B I P .
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