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Proceedings Paper

Image segmentation by region-contour cooperation as a basis for efficient coding scheme
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Paper Abstract

This paper describes a method of image coding based on contour detection and region-growing procedure. Contour detection allows the most evident frontiers of homogeneous regions to be found. The region-growing procedure serves to close contours and to obtain more precise segmentation. The goal of this segmentation is to obtain regions with borders which are easy to code. So the split-and-merge procedure and quad-tree representation are used, that gives a more regular closure of contours, than usual contour-wise methods. The particularity of the method is the choice of growing centers. They are placed on the skeleton of non-closed regions and used in split-and-merge procedure of region growing. The centers placement scheme aims to obtain a uniform centers distribution inside a contour which results in approximately constant speed of growing.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131393
Show Author Affiliations
Jenny Benois-Pineau, IRESTE/Univ. de Nantes (France)
Dominique Barba, IRESTE/Univ. de Nantes (France)


Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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