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Part of the book series: Computational Imaging and Vision ((CIVI,volume 2))

Abstract

In image compression, object-based approaches are adapted to high compression rates, since they take into account the geometry of the objects and the human eye characteristics. Mathematical Morphology, dealing with geometrical features is a well suited technique for segmentation purposes. This paper presents a method to segment image sequences, first step of an object-oriented compression system, based on Mathematical Morphology.

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© 1994 Springer Science+Business Media Dordrecht

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Marcotegui, B., Meyer, F. (1994). Morphological Segmentation of Image Sequences. In: Serra, J., Soille, P. (eds) Mathematical Morphology and Its Applications to Image Processing. Computational Imaging and Vision, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1040-2_14

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  • DOI: https://doi.org/10.1007/978-94-011-1040-2_14

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4453-0

  • Online ISBN: 978-94-011-1040-2

  • eBook Packages: Springer Book Archive

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