- 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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- full text manuscript: PDF (3.7M)
- source code: TGZ
History
- Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.