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An Algorithm for the Automatic Estimation of Image Orientation

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Machine Learning and Data Mining in Pattern Recognition (MLDM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7376))

Abstract

The paper presents a new method for the determination of an image orientation — the distinction between portrait- and landscape-oriented images. The algorithm can be applied to photographs taken outdoors. The approach is based on the use of a subpart of an image containing the sky. For determining the orientation the run of the standard deviation increment is analysed. It is obtained for the processed image and matched by means of correlation with the same characteristic of the sub-block of an image containing the sky.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Zolnierska 52, 71-210, Szczecin, Poland

    Mariusz Borawski & Dariusz Frejlichowski

Authors
  1. Mariusz Borawski
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  2. Dariusz Frejlichowski
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Editor information

Editors and Affiliations

  1. Institute of Computer Vision and Applied Computer Sciences, IBaI, Kohlenstraße 2, 04107, Leipzig, Germany

    Petra Perner

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© 2012 Springer-Verlag Berlin Heidelberg

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Borawski, M., Frejlichowski, D. (2012). An Algorithm for the Automatic Estimation of Image Orientation. In: Perner, P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2012. Lecture Notes in Computer Science(), vol 7376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31537-4_26

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  • DOI: https://doi.org/10.1007/978-3-642-31537-4_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31536-7

  • Online ISBN: 978-3-642-31537-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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