Recovering affine deformations of fuzzy shapes

Attila Tanács, Csaba Domokos, Nataša Sladoje, Joakim Lindblad, Zoltan Kato

Research output: Conference contribution

7 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationImage Analysis - 16th Scandinavian Conference, SCIA 2009, Proceedings
Pages735-744
Number of pages10
DOIs
Publication statusPublished - nov. 9 2009
Event16th Scandinavian Conference on Image Analysis, SCIA 2009 - Oslo, Norway
Duration: jún. 15 2009jún. 18 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5575 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th Scandinavian Conference on Image Analysis, SCIA 2009
CountryNorway
CityOslo
Period6/15/096/18/09

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Tanács, A., Domokos, C., Sladoje, N., Lindblad, J., & Kato, Z. (2009). Recovering affine deformations of fuzzy shapes. In Image Analysis - 16th Scandinavian Conference, SCIA 2009, Proceedings (pp. 735-744). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5575 LNCS). https://doi.org/10.1007/978-3-642-02230-2_75