Lindblad, Joakim
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Abstract
Fuzzy sets and fuzzy techniques are attracting increasing attention nowadays in the field of image processing and analysis. It has been shown that the information preserved by using fuzzy representation based on area coverage may be successfully utilized to improve precision and accuracy of several shape descriptors; geometric moments of a shape are among them. We propose to extend an existing binary shape matching method to take advantage of fuzzy object representation. The result of a synthetic test show that fuzzy representation yields smaller registration errors in average. A segmentation method is also presented to generate fuzzy segmentations of real images. The applicability of the proposed methods is demonstrated on real X-ray images of hip replacement implants
Published in
Lecture Notes in Computer Science
2009, volume: 5575, pages: 735-744
Title: Lecture Notes in Computer Science
Publisher: Springer-Verlag
Conference
16th Scandinavian Conference on Image Analysis, JUN 15-18, 2009, Oslo, NORWAY
SLU Authors
UKÄ Subject classification
Computer Science
Publication identifier
- DOI: https://doi.org/10.1007/978-3-642-02230-2_75
- ISBN: 978-3-642-02229-6
Permanent link to this page (URI)
https://res.slu.se/id/publ/27341