Unsupervised Bayesian segmentation with bootstrap sampling application to eye fundus image coding
1994
The authors propose a scheme of retina images coding. First of all, they describe the basis and the algorithm of the unsupervised Bayesian segmentation with the principle of bootstrap sampling. The second part deals with the integration of this quantification within a retinal images coding scheme including an orthogonal transform and variable length coding. >
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