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Iterative Area Seeded Region Growing for Multichannel Image Simplification

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Mathematical Morphology: 40 Years On

Part of the book series: Computational Imaging and Vision ((CIVI,volume 30))

Abstract

Motivated by the unsuitability of the image extrema paradigm for processing multiphase or multichannel images, we propose a solution in the context of image simplification based on a combination of the flat zone and seeded region growing paradigms. Concepts and results are illustrated on satellite images.

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Brunner, D., Soille, P. (2005). Iterative Area Seeded Region Growing for Multichannel Image Simplification. In: Ronse, C., Najman, L., Decencière, E. (eds) Mathematical Morphology: 40 Years On. Computational Imaging and Vision, vol 30. Springer, Dordrecht. https://doi.org/10.1007/1-4020-3443-1_36

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  • DOI: https://doi.org/10.1007/1-4020-3443-1_36

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-3442-8

  • Online ISBN: 978-1-4020-3443-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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