@string{scia="Proceedings of Scandinavian Conferences on Image Analysis"}
@string{lncs="Lecture Notes in Computer Science"}
@string{springer="Springer"}
@InProceedings{Tanacs-etal2009,
  author =	 {Attila Tan{\'a}cs and Csaba Domokos and Nata\v{s}a
                  Sladoje and Joakim Lindblad and Zoltan Kato},
  title =	 {Recovering Affine Deformations of Fuzzy Shapes},
  booktitle =	 scia,
  editor =	 {Arnt-B{\o}rre Salberg and Jon Yngve Hardeberg and
                  Robert Jenssen },
  year =	 2009,
  series =	 lncs,
  volume =	 5575,
  isbn =	 {978-3-642-02229-6},
  address =	 {Oslo, Norway},
  month =	 jun,
  publisher =	 springer,
  pages =	 {735--744},
  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.},
  pdf =		 {papers/scia2009.pdf},
}