| 1. |
- Lindblad, Joakim, 1973-, et al.
(författare)
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Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation
- 2009
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Ingår i: Image Analysis. - Berlin : Springer Verlag. - 9783642022296 ; 5575, s. 750-759
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Konferensbidrag (refereegranskat)abstract
- We present a novel fuzzy theory based method for the segmentation of images required in histomorphometrical investigations of bone implant integration. The suggested method combines discriminant analysis classification controlled by an introduced uncertainty measure, and fuzzy connectedness segmentation method, so that the former is used for automatic seeding of the later. A thorough evaluation of the proposed segmentation method is performed. Comparison with previously published automatically obtained measurements, as well as with manually obtained ones, is presented. The proposed method improves the segmentation and, consequently, the accuracy of the automatic measurements, while keeping advantages with respect to the manual ones, by being fast, repeatable, and objective.
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| 2. |
- Lindblad, Joakim, et al.
(författare)
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On set distances and their application to image registration
- 2009
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Ingår i: Proc. 6th International Symposium on Image and Signal Processing and Analysis. - Salzburg, Austria : IEEE. - 9789531841351 ; , s. 449-454
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Konferensbidrag (refereegranskat)abstract
- In this paper we study set distances that are used in image processing. We propose a generalization of Sum of minimal distances and show that its special cases include a metric by Symmetric difference. The Hausdorff metric and the Chamfer matching distances are also closely related with the presented framework. In addition, we define the Complement set distance of a given distance. We evaluate the observed distance with respect to applicability to image object registration. We perform comparative evaluations with respect to noise sensitivity, as well as with respect to rigid body transformations. We conclude that the family of Generalized sum of minimal distances has many desirable properties for this application.
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