Image attachment using fuzzy-genetic algorithms

Barna Reskó, P. Korondi, Zoltán Petres, Jean François Bourges, Hideki Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper gives contribution to the construction of an image mosaic by pasting together a sequence of photographs taken by a regular digital camera from the same position but in different directions. In order to find the best match between two overlapping images, a fuzzy-genetic based algorithm is presented. A translation vector with a minimal difference between the common picture parts has to be found. The difference is defined using the fuzzyfied contours of each images. The search of the optimal translation is considered as a minimization process. This paper proposes a method that uses genetic algorithms to find the minimum point corresponding to the optimal translation. Using the fuzzy based comparison of the two images yields a fast fitness function, while the implementation of the proposed method in a genetic hardware has a low and variable computational cost. The precision of the method is inverse-proportional with the computational time, which makes it ideal to be used in real time systems.

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages1025-1029
Number of pages5
Volume2
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest, Hungary
Duration: Jul 25 2004Jul 29 2004

Other

Other2004 IEEE International Conference on Fuzzy Systems - Proceedings
CountryHungary
CityBudapest
Period7/25/047/29/04

Fingerprint

Digital cameras
Real time systems
Genetic algorithms
Hardware
Costs
Direction compound

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety

Cite this

Reskó, B., Korondi, P., Petres, Z., Bourges, J. F., & Hashimoto, H. (2004). Image attachment using fuzzy-genetic algorithms. In IEEE International Conference on Fuzzy Systems (Vol. 2, pp. 1025-1029) https://doi.org/10.1109/FUZZY.2004.1375549

Image attachment using fuzzy-genetic algorithms. / Reskó, Barna; Korondi, P.; Petres, Zoltán; Bourges, Jean François; Hashimoto, Hideki.

IEEE International Conference on Fuzzy Systems. Vol. 2 2004. p. 1025-1029.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reskó, B, Korondi, P, Petres, Z, Bourges, JF & Hashimoto, H 2004, Image attachment using fuzzy-genetic algorithms. in IEEE International Conference on Fuzzy Systems. vol. 2, pp. 1025-1029, 2004 IEEE International Conference on Fuzzy Systems - Proceedings, Budapest, Hungary, 7/25/04. https://doi.org/10.1109/FUZZY.2004.1375549
Reskó B, Korondi P, Petres Z, Bourges JF, Hashimoto H. Image attachment using fuzzy-genetic algorithms. In IEEE International Conference on Fuzzy Systems. Vol. 2. 2004. p. 1025-1029 https://doi.org/10.1109/FUZZY.2004.1375549
Reskó, Barna ; Korondi, P. ; Petres, Zoltán ; Bourges, Jean François ; Hashimoto, Hideki. / Image attachment using fuzzy-genetic algorithms. IEEE International Conference on Fuzzy Systems. Vol. 2 2004. pp. 1025-1029
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