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International Conference on Pattern Recognition and Image Analysis

ICAPR 2005: Pattern Recognition and Data Mining pp 436–445Cite as

Detection of Spots in 2-D Electrophoresis Gels by Symmetry Features

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3686))

Abstract

We have implemented an algorithm for detection and segmentation of protein spots in 2-D gel electrophoresis images using symmetry derivative features computed using low level image processing operations. The implementation was compared with a previously published Watershed segmentation and a commercial software. Our algorithm was found to yield segmentation results that were either better than or comparable to the other solutions while having fewer free parameters and a low computational cost.

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Author information

Authors and Affiliations

  1. School of Information Science, Computer and Electrical Engineering, Halmstad University, P.O. Box 823, SE-301 18, Halmstad, Sweden

    Martin Persson & Josef Bigun

Authors
  1. Martin Persson
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  2. Josef Bigun
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Editor information

Editors and Affiliations

  1. Research School of Infomatics, Loughborough, UK

    Sameer Singh

  2. ATR Lab, Research School of Informatics, University of Loughborough, Loughborough, UK

    Maneesha Singh

  3. IBM Corporation, 1133 Wetchester Avenue, White Plains, 10604, New York, United States

    Chid Apte

  4. Institute of Computer Vision and applied Computer Sciences, IBaI, Germany

    Petra Perner

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© 2005 Springer-Verlag Berlin Heidelberg

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Persson, M., Bigun, J. (2005). Detection of Spots in 2-D Electrophoresis Gels by Symmetry Features. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Data Mining. ICAPR 2005. Lecture Notes in Computer Science, vol 3686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551188_47

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  • DOI: https://doi.org/10.1007/11551188_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28757-5

  • Online ISBN: 978-3-540-28758-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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