Summary
In recent years, fuzzy techniques have been applied to develop new edge detection techniques because they offer a flexible framework for edge extraction with respect to specific requirements. These techniques, however, are usually expensive in computing compared to classical approaches like the Sobel operator. In many practical applications we need fast edge detection. In this chapter, several fast methods are proposed which are suitable for cases where a rough edge estimation is required. On the other side, the result of edge detection techniques in noisy environments is often not satisfactory. In this chapter, also a robust algorithm based on fuzzy if-then rules is proposed that can detect edges and lines in noisy images.
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Tizhoosh, H.R. (2003). Fast and Robust Fuzzy Edge Detection. In: Nachtegael, M., Van der Weken, D., Kerre, E.E., Van De Ville, D. (eds) Fuzzy Filters for Image Processing. Studies in Fuzziness and Soft Computing, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36420-7_8
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DOI: https://doi.org/10.1007/978-3-540-36420-7_8
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