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Proceedings Paper

Symmetry-based image segmentation
Author(s): Pierangela Cicconi; Murat Kunt
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Paper Abstract

In this work, we present a technique which suggests the use of symmetry to reduce the redundancy in images. A symmetry-based image segmentation and coding scheme is described. A segmentation technique is analyzed, and applied on natural images, performing their efficient partition. In order to find symmetries in regions of any shape, the concept of axes of symmetry is generalized to skeletons of symmetry, dividing the regions into two symmetric subparts by the introduction of the Medial Axis Transformation of the regions. Each subpart of the regions is then linearly predicted with respect to the skeletons. An efficient coding strategy specifying the shape and the luminance of the regions is described. Results on natural images show that the described technique outperforms the more classical second generation image coding methods in terms of visual quality.

Paper Details

Date Published: 29 October 1993
PDF: 7 pages
Proc. SPIE 1977, Video Communications and PACS for Medical Applications, (29 October 1993); doi: 10.1117/12.160482
Show Author Affiliations
Pierangela Cicconi, Ecole Polytechnique Federale de Lausanne (Switzerland)
Murat Kunt, Ecole Polytechnique Federale de Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 1977:
Video Communications and PACS for Medical Applications
Rudy A. Mattheus; Andre J. Duerinckx; Peter J. van Otterloo, Editor(s)

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