This article describes the implementation of the method proposed 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.
CITATION STYLE
Buades, A., Von Gioi, R. G., & Navarro, J. (2018). Contours, corners and T-junctions detection algorithm. Image Processing On Line, 8, 24–36. https://doi.org/10.5201/ipol.2018.218
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