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Edge Detection

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Geometrical Multiresolution Adaptive Transforms

Part of the book series: Studies in Computational Intelligence ((SCI,volume 545))

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Abstract

In this chapter, the edge detection methods based on multismoothlets were proposed. The first one is based on the multismoothlet transform. The second one is based on sliding multismoothlets. Both methods were compared to the state-of-the-art methods. As follows from the performed experiments, the method based on sliding multismoothlets leads to the best results of edge detection.

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References

  1. Canny, J.: Computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8, 679–714 (1986)

    Google Scholar 

  2. Gonzales, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall, New Jersey (2008)

    Google Scholar 

  3. Starck, J.-L., Murtagh, F., Bijaoui, A.: Image Processing and Data Analysis: The Multiscale Approach. Cambridge University Press, Cambridge (1998)

    Google Scholar 

  4. Deans, S.R.: The Radon Transform and Some of Its Applications. Wiley, New York (1983)

    Google Scholar 

  5. Lisowska, A.: Multiscale moments-based edge detection. In: Proceedings of EUROCON ’09 Conference, pp. 1414–1419. St.Petersburg, Russia (2009)

    Google Scholar 

  6. Popovici, I., Withers, W.D.: Custom-built moments for edge location. IEEE Trans. Pattern Anal. Mach. Intell. 28(4), 637–642 (2006)

    Google Scholar 

  7. Donoho, D.L.: Wedgelets: nearly-minimax estimation of edges. Ann. Stat. 27, 859–897 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  8. Lisowska, A.: Geometrical multiscale noise resistant method of edge detection. Lect. Notes Comput. Sci. 5112, 182–191 (2008). (Springer)

    Google Scholar 

  9. Lisowska, A.: Edge detection by sliding wedgelets. Lect. Notes Comput. Sci. 6753(1), 50–57 (2011). (Springer, Heidelberg)

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, Katowice, Poland

    Agnieszka Lisowska

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  1. Agnieszka Lisowska
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Correspondence to Agnieszka Lisowska .

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Lisowska, A. (2014). Edge Detection. In: Geometrical Multiresolution Adaptive Transforms. Studies in Computational Intelligence, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-319-05011-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-05011-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05010-2

  • Online ISBN: 978-3-319-05011-9

  • eBook Packages: EngineeringEngineering (R0)

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