A Sub-Pixel Edge Detector: an Implementation of the Canny/Devernay Algorithm
Rafael Grompone von Gioi, Gregory Randall
→ BibTeX
@article{ipol.2017.216,
    title   = {{A Sub-Pixel Edge Detector: an Implementation of the Canny/Devernay Algorithm}},
    author  = {Grompone von Gioi, Rafael and Randall, Gregory},
    journal = {{Image Processing On Line}},
    volume  = {7},
    pages   = {347--372},
    year    = {2017},
    doi     = {10.5201/ipol.2017.216},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2017.216}}
published
2017-11-28
reference
Rafael Grompone von Gioi, and Gregory Randall, A Sub-Pixel Edge Detector: an Implementation of the Canny/Devernay Algorithm, Image Processing On Line, 7 (2017), pp. 347–372. https://doi.org/10.5201/ipol.2017.216

Communicated by José Luis Lisani
Demo edited by Rafael Grompone von Gioi

Abstract

An image edge detector is described which produces chained edge points with sub-pixel accuracy. The method incorporates the main ideas of the classic Canny and Devernay algorithms. The analysis shows that a slight modification to the original formulation improves the accuracy of the edge points.

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