Towards an objective edge detection algorithm based on discrete t-norms
نویسندگان
چکیده
In this paper a comparative analysis of different techniques in order to transform a gray-scale edge image to a thin binary edge image is performed. Several thresholding methods and thinning methods are compared. The comparison is made according to some performance measures, such as Pratt’s figure of merit, Baddeley’s measure and the ρ-coefficient. This study is an essential intermediate step to obtain an objective edge detection algorithm based on discrete t-norms. This fuzzy morphological algorithm has already shown notable potential in relation with the results obtained from nilpotent tnorms, umbra approach and classical edge detectors.
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