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Big Data Analytics and Fuzzy Technology: Extracting Information from Social Data Read chapter Read first chapter

2018 | OriginalPaper | Chapter

A Fuzzy Shape Extraction Method

Authors : A. R. Várkonyi-Kóczy, B. Tusor, J. T. Tóth

Published in: Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Publisher: Springer International Publishing

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Abstract

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.

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previous chapter Differentiations in Hierarchical Fuzzy Systems
next chapter Pipelined Hardware Architecture for a Fuzzy Logic Based Edge Detection System
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Metadata
Title
A Fuzzy Shape Extraction Method
Authors
A. R. Várkonyi-Kóczy
B. Tusor
J. T. Tóth
Copyright Year
2018
Book
Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Print ISBN: 978-3-319-75407-9

Electronic ISBN: 978-3-319-75408-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-75408-6_29

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