Lindblad, Joakim
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Abstract
We present a novel frizzy theory based method for the segmentation of images required in histomophometrical investigations of bone implant integration. Tire suggested method combines discriminant analysis classification controlled by air introduced uncertainty measure, and fuzzy connectedness segmentation method, so that the former is used for automatic seeding of the later. A. thorough evaluation of tire 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 tire segmentation and, consequently; the accuracy of the automatic measurements, while keeping advantages with respect to the manual ones, by being fast:, repeatable, and objective.
Published in
Lecture Notes in Computer Science
2009, volume: 5575, pages: 750-+
Title: Proceedings SCIA 2009
Publisher: Springer-Verlag
Conference
16th Scandinavian Conference on Image Analysis
SLU Authors
Sarve, Hamid
- Centre for Image Analysis, Swedish University of Agricultural Sciences
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Borgefors, Gunilla
- Centre for Image Analysis, Swedish University of Agricultural Sciences
- Centre for Image Analysis, Swedish University of Agricultural Sciences
UKÄ Subject classification
Computer graphics and computer vision
Publication identifier
- DOI: https://doi.org/10.1007/978-3-642-02230-2_77
- ISBN: 978-3-642-02229-6
Permanent link to this page (URI)
https://res.slu.se/id/publ/27208