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Proceedings Paper

Supervised pixel classification using a feature space derived from an artificial visual system
Author(s): Lisa C. Baxter; James M. Coggins
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Paper Abstract

Image segmentation involves labelling pixels according to their membership in image regions. This requires that we understand what a region is. Using supervised pixel classification, we investigate how groups of pixels labelled manually according to perceived image semantics map onto the feature space created by an Artificial Visual System. We investigate multiscale structure of regions and show that pixels form clusters based on their geometric roles in the image intensity function, not by image semantics. A tentative abstract definition of a "region" is proposed based on this behavior.

Paper Details

Date Published: 1 February 1991
PDF: 11 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25176
Show Author Affiliations
Lisa C. Baxter, Univ. of North Carolina/Chapel Hill (United States)
James M. Coggins, Univ. of North Carolina/Chapel Hill and NASA/Goddard Space F (United States)

Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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