Abstract
A new method to encode and reconstruct the contours of a segmented image is described in this paper. Encoding is based on the morphological skeleton which is extended using geodesic distance functions. This allows us to fully take into account already coded labels and hence known contours and to avoid coding a contour twice. Moreover, fast algorithms for skeleton reconstruction based on hierarchical queues will be presented.
The algorithm is used for image sequence coding at very low bit-rates. The experimental results validate the chosen approach.
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© 1994 Springer Science+Business Media Dordrecht
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Brigger, P., Kunt, M., Meyer, F. (1994). The Geodesic Morphological Skeleton and Fast Transformation Algorithms. 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_18
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DOI: https://doi.org/10.1007/978-94-011-1040-2_18
Publisher Name: Springer, Dordrecht
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