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Outlier removal in biomaterial image segmentations using a non-stationary Bayesian learning |
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| Authors: | Syam Wahyudin P. Benardos Panorios Britchford Emily Hopkinson Andrew Branson David T. |
| Affiliation: | 1.Nottingham Advanced Robotic Laboratory (NARLy), Faculty of Engineering, University of Nottingham, NG8 1BB, Nottingham, UK ;2.Manufacturing Metrology Team, Faculty of Engineering, University of Nottingham, NG8 1BB, Nottingham, UK ;3.Section of Manufacturing Technology, School of Mechanical Engineering, National Technical University of Athens, GR15780 Zografοu, Athens, Greece ;4.NuVision Biotherapies Ltd, MediCity, D6 Building, Nottingham, NG90 6BH, UK ; |
| Abstract: | Pattern Analysis and Applications - Segmentation of dried amnion biomaterial tends to produce invalid (outlier) contour point detections due to texture and colour inhomogeneity of the biomaterial.... |
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