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Joint Contours, Corner and T-Junction Detection: An Approach Inspired by the Mammal Visual System

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Abstract

We introduce a new algorithm that allows the detection of line segments, contours, corners and T-junctions. The proposed model 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. This method unifies tasks that have been traditionally worked apart. An a-contrario validation is applied to select the most meaningful contours without the need of fixing any critical parameter.

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Acknowledgements

The authors would like to thank G. Xia, J. Delon and Y. Gousseau for their code for junction detection. The authors would like to thank N. Oliver for proofreading the manuscript.

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Authors and Affiliations

  1. Universitat Illes Balears, Ctra Valldemossa km 7.5, Palma de Mallorca, Spain

    Antonio Buades & Julia Navarro

  2. CMLA, ENS Cachan, Avenue President Wilson, Cachan, France

    Rafael Grompone von Gioi

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  1. Antonio Buades
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  2. Rafael Grompone von Gioi
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  3. Julia Navarro
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Correspondence to Antonio Buades.

Additional information

This work was partially financed by Ministerio de Economia y Competitividad under Grant TIN2014-53772-R.

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Buades, A., Grompone von Gioi, R. & Navarro, J. Joint Contours, Corner and T-Junction Detection: An Approach Inspired by the Mammal Visual System. J Math Imaging Vis 60, 341–354 (2018). https://doi.org/10.1007/s10851-017-0763-z

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  • DOI: https://doi.org/10.1007/s10851-017-0763-z

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