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Application of Morphological Filters for Contour Image Sequence Coding

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Mathematical Morphology and Its Applications to Image Processing

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

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Abstract

In this paper, an improved method for contour image sequence coding is described 1. It is based on motion estimation, compensation and morphological filters. In order to exploit the high temporal redundancy of the contour image sequence, motion estimation and compensation are used for the correspondent label image sequence. The first frame is directly coded by using lossless Chain-Code method. All the following frames are coded in motion compensation mode. Within each frame, labels are divided into foreground and background labels. Only the prediction error for the foreground labels are coded. Morphological filters are applied to clean the prediction error for the foreground labels. Afterwards, an efficient prediction error coding algorithm is shown. For contour simplification purpose, a new Morphology-like filter is introduced. Experimental results have demonstrated outstanding performance in the coding of contour image sequence for very low bitrate coding.

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© 1994 Springer Science+Business Media Dordrecht

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Gu, C., Kunt, M. (1994). Application of Morphological Filters for Contour Image Sequence Coding. 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_17

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  • DOI: https://doi.org/10.1007/978-94-011-1040-2_17

  • 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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