A. R. Várkonyi-Kóczy, B. Tusor, J. T. Tóth: A Fuzzy Shape Extraction Method. In Recent Developments and the New Direction in Soft-Computing Foundations and Applications (Studies in Fuzziness and Soft Computing 361). Cham, CH : Springer, pp. 383-395, 2018. ISSN 1434-9922 link

Absztrakt: 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.