Abstract
The study presented in this paper is an analysis for finding what is the minimum signal-to-noise ratio that must have a contour in order to allow its detection. For finding this minimum, all the study has been based on the analysis of the gradient vector, because this kind of algorithms are those which obtain best results. It can be concluded that: a) The analysis of the gradient vector argument is more robust than the module; b) A contour must have a signal-to-noise ratio greater than 4/5 in order to be detected, if small operators are used to obtain the gradient vector, and so a good contour location be assured.
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© 1995 Springer-Verlag Berlin Heidelberg
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Larré, A., Montseny, E. (1995). On the detection of step edges in algorithms based on gradient vector analysis. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_290
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DOI: https://doi.org/10.1007/3-540-60298-4_290
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