Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation
2009 (English)In: Image Analysis: Proceedings SCIA 2009 / [ed] A.-B. Salberg, J. Y. Hardeberg, R. Jenssen, Berlin: Springer Verlag , 2009, 750-759 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Berlin: Springer Verlag , 2009. 750-759 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 5575
Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Analysis
IdentifiersURN: urn:nbn:se:uu:diva-110688DOI: 10.1007/978-3-642-02230-2_77ISBN: 978-3-642-02229-6OAI: oai:DiVA.org:uu-110688DiVA: diva2:277953
16th Scandinavian Conference on Image Analysis, Oslo, Norway, June 15-18, 2009