Abstract
In this paper a 5x5x5x5 Greco-Latin Squares experimental design model has been applied to detect horizontal, vertical and both diagonal edges in a 5x5 pixels mask. After detecting a type of edge (i.e. horizontal, vertical or diagonal), an edge is localized by using the linear one-way analysis of variance model. Comparisons between row or column or diagonal means called contrasts are carried out by F-test on contrasts. These, in turn are used to detect the location of an edge within the mask. Decision is made about presence or absence of an edge for a pixel located in the center of a 5x5 mask and then the mask is moved throughout the image to trace the edge map. The procedure is simple, efficient and robust as supported by computer generated edge detection examples.
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Trivedi, Y.C., Kurz, L. (1994). Edge Detectors Using Greco-Latin Squares. In: Maldague, X.P.V. (eds) Advances in Signal Processing for Nondestructive Evaluation of Materials. NATO ASI Series, vol 262. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1056-3_7
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DOI: https://doi.org/10.1007/978-94-011-1056-3_7
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