Abstract
Edges detection in digital images is a problem that has been solved by means of the application of different techniques from digital signal processing, also the combination of some of these techniques with Fuzzy Inference System (FIS) has been experienced [64]. In this chapter a new FIS Type-2 method is implemented for the detection of edges and the results of three different techniques for the same intention are compared [65].
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© 2012 Springer-Verlag Berlin Heidelberg
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Melin, P. (2012). Type-1 and Type-2 Fuzzy Inference Systems for Images Edge Detection. In: Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition. Studies in Computational Intelligence, vol 389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24139-0_2
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DOI: https://doi.org/10.1007/978-3-642-24139-0_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24138-3
Online ISBN: 978-3-642-24139-0
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