Contours, Corners and T-Junctions Detection Algorithm
Antoni Buades, Rafael Grompone von Gioi, Julia Navarro
→ BibTeX
@article{ipol.2018.218,
    title   = {{Contours, Corners and T-Junctions Detection Algorithm}},
    author  = {Buades, Antoni and Grompone von Gioi, Rafael and Navarro, Julia},
    journal = {{Image Processing On Line}},
    volume  = {8},
    pages   = {24--36},
    year    = {2018},
    doi     = {10.5201/ipol.2018.218},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2018.218}}
published
2018-02-27
reference
Antoni Buades, Rafael Grompone von Gioi, and Julia Navarro, Contours, Corners and T-Junctions Detection Algorithm, Image Processing On Line, 8 (2018), pp. 24–36. https://doi.org/10.5201/ipol.2018.218

Communicated by Luis Gómez
Demo edited by Jose-Luis Lisani

Abstract

This article describes the implementation of the method by Buades, Grompone and Navarro in 2017 for the detection of line segments, contours, corners and T-junctions. The method is inspired by the mammal visual system. The detection of corners and T-junctions plays a role as part of the process in contour detection. An a contrario validation is applied to select the most meaningful contours without the need of fixing any critical parameter.

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