TY - CHAP T1 - Recovering affine deformations of fuzzy shapes T2 - Image Analysis Y1 - 2009 A1 - Attila Tanacs A1 - Csaba Domokos A1 - Nataša Sladoje A1 - Joakim Lindblad A1 - Zoltan Kato ED - Arnt-Borre Salberg ED - Jon Yngve Hardeberg ED - Robert Jenssen AB -

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. © 2009 Springer Berlin Heidelberg.

JF - Image Analysis T3 - Lecture Notes in Computer Science PB - Springer-Verlag CY - Oslo, Norway N1 - UT: 000268661000075ScopusID: 70350676212doi: 10.1007/978-3-642-02230-2_75 JO - LNCS ER -