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2014 | OriginalPaper | Chapter

7. Edge Detection

Author : Agnieszka Lisowska

Published in: Geometrical Multiresolution Adaptive Transforms

Publisher: Springer International Publishing

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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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Literature
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Gonzales, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall, New Jersey (2008)
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Lisowska, A.: Multiscale moments-based edge detection. In: Proceedings of EUROCON ’09 Conference, pp. 1414–1419. St.Petersburg, Russia (2009)
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Popovici, I., Withers, W.D.: Custom-built moments for edge location. IEEE Trans. Pattern Anal. Mach. Intell. 28(4), 637–642 (2006)
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Lisowska, A.: Geometrical multiscale noise resistant method of edge detection. Lect. Notes Comput. Sci. 5112, 182–191 (2008). (Springer)
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Lisowska, A.: Edge detection by sliding wedgelets. Lect. Notes Comput. Sci. 6753(1), 50–57 (2011). (Springer, Heidelberg)CrossRef
Metadata
Title
Edge Detection
Author
Agnieszka Lisowska
Copyright Year
2014
Book
Geometrical Multiresolution Adaptive Transforms

Print ISBN: 978-3-319-05010-2

Electronic ISBN: 978-3-319-05011-9

Copyright Year: 2014

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

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