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Algorithm for Crest Detection Based on Graph Contraction

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Book cover Pattern Recognition and Image Analysis (IbPRIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3523))

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Abstract

The concept of graph contraction was developed with the intention to structure and describe the image segmentation process. We consider this concept to describe a new technique of crest lines detection based on a definition of water-parting (or watershed). This technique allows to localize the basins delimited by these lines. The localization process uses the concept of ascending path. A structure of oriented graph is defined on original image. We give some definitions we use for this process. Before presenting the contraction algorithm, a pretreatment on the oriented original graph is necessary to make it complete. We show the algorithm resultson simple image examples.

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© 2005 Springer-Verlag Berlin Heidelberg

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Selmaoui, N. (2005). Algorithm for Crest Detection Based on Graph Contraction. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492542_38

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  • DOI: https://doi.org/10.1007/11492542_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26154-4

  • Online ISBN: 978-3-540-32238-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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