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Proceedings Paper

Goal-Directed Textured-Image Segmentation
Author(s): Kenneth I. Laws
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Paper Abstract

The SLICE segmentation system identifies image regions that differ in gray-level distribution, color, spatial texture, or some other local property. This report concentrates on textured-image segmentation using local texture-energy measures and user delimited training regions. Knowledge of target textures or signatures is combined with knowledge of background textures by using histogram-similarity transforms to identify regions that are similar to a target texture and dissimilar to other textures.

Paper Details

Date Published: 5 April 1985
PDF: 8 pages
Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); doi: 10.1117/12.948402
Show Author Affiliations
Kenneth I. Laws, SRI International (United States)

Published in SPIE Proceedings Vol. 0548:
Applications of Artificial Intelligence II
John F. Gilmore, Editor(s)

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