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Proceedings Paper

Attributed tree data structure for representing the descriptions of object contours in images
Author(s): Z. Ren; Walter Ameling; Peter F. Jensch
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Paper Abstract

Shape of medical objects, such as the human bones or skeletons, conveys information about the object’s anatomic structures and their pathological states. The sectional contours of the objects, which are observable through computer tomograms, carry descriptive clues for analyzing shapes. To build and represent the descriptions of contours, one should derive stable structural elements and their sensitive attributes from the contours. Sectional contours of the medical objects are highly curved and complex, therefore, they should be described in a higher order parameter space than just in a linear one. These considerations have guided us to examine the scale-space transformation, and to develop methods for expressing, describing, and extracting structures in the scale-space images of the contours. In this paper we introduce a tree-based data structure for representing descriptions of structures in the scale-space, and further demonstrate its applications to shape analysis.

Paper Details

Date Published: 1 September 1990
PDF: 14 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24110
Show Author Affiliations
Z. Ren, Technische Hochschule Aachen (Germany)
Walter Ameling, Technische Hochschule Aachen (Germany)
Peter F. Jensch, Univ. Oldenburg (Germany)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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