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Contour Detection by Image Analogies

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Advances in Visual Computing (ISVC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7432))

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Abstract

In this paper we deal only contour detection based on image analogy principle which has been used in super resolution images, texture, curves synthesis and interactive editing. Human is able to hand drawn best outlines that may considered as benchmarks for contour detection and image segmentation algorithms. Our goal is to model this expertise and to pass on it at the computer for contour detection. Giving a reference image where outlines are drawn by human, we propose a method based on the learning of this expertise to locate outlines of a query image in the same way that is done for the reference. Experiments are conducted on different data sets and the obtained results are presented and discussed.

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Author information

Authors and Affiliations

  1. Computer Science Department, University of Sciences and Technology, Houari Boumediene, BP 32, El Alia, Algiers, Algeria

    Slimane Larabi

  2. School of Engineering and Physical Sciences, Heriot-Watt University, Earl Mountbatten Building Gait 2, Edinburgh, EH14 4AS, UK

    Neil M. Robertson

Authors
  1. Slimane Larabi
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  2. Neil M. Robertson
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science, University of California at Irvine, 92697-3435, Irvine, CA, USA

    Charless Fowlkes

  6. Eastman Kodak Company, 14650-2102, Rochester, NY, USA

    Sen Wang

  7. Department of Computer Science and Engineering, University of Colorado at Denver, 80217, Denver, CO, USA

    Min-Hyung Choi

  8. VRVis Zentrum für Virtual Reality and Visualisierung, 1220, Vienna, Austria

    Stephan Mantler

  9. California Institute for Telecommunications and Information Technology, University of California,,, San Diego, 92093, La Jolla, CA, USA

    Jürgen Schulze

  10. KAUST Visualizatioin Core Lab., 23955-6900, Thurwal, Saudi Arabia

    Daniel Acevedo

  11. Stony Brook University, 11794-4400, NY, USA

    Klaus Mueller

  12. Argonne National Laboratory, 60439, IL, USA

    Michael Papka

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© 2012 Springer-Verlag Berlin Heidelberg

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Larabi, S., Robertson, N.M. (2012). Contour Detection by Image Analogies. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_42

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  • DOI: https://doi.org/10.1007/978-3-642-33191-6_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33190-9

  • Online ISBN: 978-3-642-33191-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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