A fuzzy shape extraction method

A. Várkonyi-Kóczy, B. Tusor, J. T. Tóth

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter presents an easily implementable method of fuzzy shape extraction for shape recognition. The method uses Fuzzy Hypermatrix-based classifiers in order to find the potential location of the target objects based on their colors, then determines the areas where the most densely occurring positive findings in order to restrict the area of operation thus speeding the process up. In these areas the edges are detected, the edges are mapped to tree structures, which are trimmed down to simple outline sequences using heuristics from the Fuzzy Hypermatrix. Finally, fuzzy information is extracted from the outlines that can be used to classify the shape with a fuzzy inference machine.

Original languageEnglish
Title of host publicationStudies in Fuzziness and Soft Computing
PublisherSpringer Verlag
Number of pages13
Publication statusPublished - Jan 1 2018

Publication series

NameStudies in Fuzziness and Soft Computing
ISSN (Print)1434-9922

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computational Mathematics

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    Várkonyi-Kóczy, A., Tusor, B., & Tóth, J. T. (2018). A fuzzy shape extraction method. In Studies in Fuzziness and Soft Computing (pp. 383-395). (Studies in Fuzziness and Soft Computing; Vol. 361). Springer Verlag. https://doi.org/10.1007/978-3-319-75408-6_29