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On the detection of step edges in algorithms based on gradient vector analysis
[chapter]
1995
Lecture Notes in Computer Science
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
doi:10.1007/3-540-60298-4_290
fatcat:rwdyjg426ncr5oc7ritzprid3q