Please use this identifier to cite or link to this item:
https://olympias.lib.uoi.gr/jspui/handle/123456789/10946| Title: | A class-adaptive spatially variant mixture model for image segmentation |
| Institution and School/Department of submitter: | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής |
| Keywords: | clustering-based image segmentation,expectation-maximization (em) algorithm,gauss-markov random field,gaussian mixture model,maximum a posteriori (map) estimation,spatial smoothness constraints,gaussian mixture,em algorithm,classification,filters |
| URI: | https://olympias.lib.uoi.gr/jspui/handle/123456789/10946 |
| ISSN: | 1057-7149 |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Likas-2007-A class-adaptive spatially variant mixture model for image segmentation.pdf | 1.34 MB | Adobe PDF | View/Open Request a copy |
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