@inbook {1225,
	title = {Recovering affine deformations of fuzzy shapes},
	booktitle = {Image Analysis},
	series = {Lecture Notes in Computer Science},
	number = {5575},
	year = {2009},
	note = {UT: 000268661000075ScopusID: 70350676212doi: 10.1007/978-3-642-02230-2_75},
	month = {June 2009},
	pages = {735 - 744},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	type = {Conference paper},
	address = {Oslo, Norway},
	abstract = {<p>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. {\textcopyright} 2009 Springer Berlin Heidelberg.</p>},
	doi = {10.1007/978-3-642-02230-2_75},
	author = {Attila Tanacs and Csaba Domokos and Nata{\v s}a Sladoje and Joakim Lindblad and Zoltan Kato},
	editor = {Arnt-Borre Salberg and Jon Yngve Hardeberg and Robert Jenssen}
}
