Abstract
In this paper a comparative analysis of several edge detectors based on diverse fuzzy morphologies is performed. In addition, two different processes in order to transform a fuzzy edge image to a thin binary edge image are studied, a recently introduced unsupervised hysteresis based on the determination of a “instability zone” on the histogram and a fuzzy Atanassov’s based threshold. The comparison is made according to some performance measures, such as Pratt’s figure of merit and the ρ-coefficient. The goodness of the employed binarization methods is studied depending on their capability to obtain the best threshold values according to these measures.
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González-Hidalgo, M., Massanet, S., Mir, A. (2011). Objective Comparison of Some Edge Detectors Based on Fuzzy Morphologies. In: Melo-Pinto, P., Couto, P., Serôdio, C., Fodor, J., De Baets, B. (eds) Eurofuse 2011. Advances in Intelligent and Soft Computing, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24001-0_36
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DOI: https://doi.org/10.1007/978-3-642-24001-0_36
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