Paper
5 April 1985 Goal-Directed Textured-Image Segmentation
Kenneth I. Laws
Author Affiliations +
Proceedings Volume 0548, Applications of Artificial Intelligence II; (1985) https://doi.org/10.1117/12.948402
Event: 1985 Technical Symposium East, 1985, Arlington, United States
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.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kenneth I. Laws "Goal-Directed Textured-Image Segmentation", Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); https://doi.org/10.1117/12.948402
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CITATIONS
Cited by 14 scholarly publications and 7 patents.
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KEYWORDS
Image segmentation

Transform theory

Prototyping

Artificial intelligence

Image processing algorithms and systems

Image filtering

Evolutionary algorithms

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