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Edge Detection Using a Complex-Valued Directional Vector Representation

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Advances in Visual Computing (ISVC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4292))

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Abstract

Edge detection is a fundamental step in computer vision and image analysis. A new method using the modified Laplacian and position mask is proposed for edge detection of both gray-evel and color images. A directional field is computed by the proposed masks and edges are detected by additional simple mask operations. Edge detection results by the proposed masks are shown in comparison with those by Sobel, Laplacian of Gaussian (LoG), and Canny operators.

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References

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Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Sogang University, C.P.O. Box 1142, Seoul, 100-611, Korea

    Sung Bae Kim & Rae-Hong Park

  2. Interdisciplinary Program of Integrated Biotechnology, Sogang University,  

    Rae-Hong Park

Authors
  1. Sung Bae Kim
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  2. Rae-Hong Park
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Nevada, Reno, USA

    George Bebis

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

    Richard Boyle

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

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Digital Image Research Center, Kingston University, London, UK

    Paolo Remagnino

  6. Intel, 95052, Santa Clara, CA, USA

    Ara Nefian

  7. University of California, 430, Computer Science Building, 92697-3425, Irvine, CA, USA

    Gopi Meenakshisundaram

  8. Institute for Data Analysis and Visualization, P.O. Box

    Valerio Pascucci

  9. Department of Computer Science and Engineering, Czech Technical University in Prague, Czech

    Jiri Zara

  10. Rockwell Scientific, 1049 Camino Dos Rios, 91360, Thousand Oaks, CA, USA

    Jose Molineros

  11. Computer Graphics Group, Bielefeld University, D-33501, Bielefeld, Germany

    Holger Theisel

  12. Hewlett Packard Labs, Palo Alto, CA, USA

    Tom Malzbender

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, S.B., Park, RH. (2006). Edge Detection Using a Complex-Valued Directional Vector Representation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2006. Lecture Notes in Computer Science, vol 4292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11919629_73

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  • DOI: https://doi.org/10.1007/11919629_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48626-8

  • Online ISBN: 978-3-540-48627-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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