Murtagh, F. and Starck, J.L. (2003) Quantization from Bayes factors with application to multilevel thresholding. Pattern Recognition Letters, 24 (12).
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We are concerned with the optimal selection of multiple thresholds in image analysis. We propose the use of the Bayes information criterion, a minimal information measure, for this and illustrate its use in practical cases. Applications of multiple threshold selection of interest to us include the closely related problems of (i) quantization for lossy encoding, and (ii) segmentation. Our examples relate to segmentation as a post-processing phase in edge detection.
This is a Submitted version This version's date is: 2003 This item is not peer reviewed
https://repository.royalholloway.ac.uk/items/6339481f-1296-ca36-8c31-d4b1fbaed254/4/
Deposited by Research Information System (atira) on 25-Jul-2012 in Royal Holloway Research Online.Last modified on 25-Jul-2012