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Proceedings Paper

Noise and scale behavior of relational descriptions
Author(s): Claudia Fuchs; Felicitas Lang; Wolfgang Foerstner
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Paper Abstract

A concept for analyzing the quality of relational descriptions of digital images is presented. The investigations are based on the relational description automatically derived by a new coherent procedure for feature extraction providing a feature adjacency graph containing points, edges and segments and their relations. A new notion of scale (integration scale) is introduced, relating to a nonlinear function of the image, providing new stable descriptions. Based on the feature extraction we analyzed the quality of the relational descriptions in dependency on the signal-to-noise ratio and on the control parameters of the feature extraction process, i.e., the significance level, the smoothing scale, and the integration scale. First results on the quality of the features, focussing on their existence, distinct attributes and relations are given. The scope of this research is to predict the quality, especially probabilities of components of the relational description from a few measures depending on noise, scale and local properties of the image content.

Paper Details

Date Published: 17 August 1994
PDF: 8 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182797
Show Author Affiliations
Claudia Fuchs, Univ. Bonn (Germany)
Felicitas Lang, Univ. Bonn (Germany)
Wolfgang Foerstner, Univ. Bonn (Germany)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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