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An Analysis of ED Line Algorithm in Urban Street-View Dataset

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Information and Software Technologies (ICIST 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1486))

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Abstract

Building detection in urban street view scenarios is becoming an important aspect of Computer Vision applications. In this paper we present an analysis of EDLine and Edge Drawing algorithms in a street-view dataset scenario when changing the first order derivative operator used inside the algorithms. To do so, we focused firstly on the general use case, using a natural image dataset, and secondly we looked on the effects we obtain on the use case of building detection in street view urban scenarios. We observed from our experiments that the proposed change brings marginal improvements to the algorithm that we present in the paper, visually and statistically.

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Authors and Affiliations

  1. Politehnica University of Timişoara, Timişoara, Romania

    Ciprian Orhei, Muguras Mocofan, Silviu Vert & Radu Vasiu

Authors
  1. Ciprian Orhei
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  2. Muguras Mocofan
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  3. Silviu Vert
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  4. Radu Vasiu
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Corresponding author

Correspondence to Ciprian Orhei .

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Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Audrius Lopata

  2. Kaunas University of Technology, Kaunas, Lithuania

    Daina Gudonienė

  3. Kaunas University of Technology, Kaunas, Lithuania

    Rita Butkienė

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Orhei, C., Mocofan, M., Vert, S., Vasiu, R. (2021). An Analysis of ED Line Algorithm in Urban Street-View Dataset. In: Lopata, A., Gudonienė, D., Butkienė, R. (eds) Information and Software Technologies. ICIST 2021. Communications in Computer and Information Science, vol 1486. Springer, Cham. https://doi.org/10.1007/978-3-030-88304-1_10

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  • DOI: https://doi.org/10.1007/978-3-030-88304-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88303-4

  • Online ISBN: 978-3-030-88304-1

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