Paper
1 March 1992 Curvature, scale, and segmentation
Frank P. Ferrie, A. Lejeune, D. Baird
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Abstract
The central idea behind this paper is that many of the difficulties associated with parts decomposition (segmentation) using so-called edge-based and region-based approaches can be alleviated by pursuing both methodologies simultaneously. Our approach is based on generating a scale space of surface coverings using boundary features to determine which cover elements correspond to each part of an object. We present an algorithm that accomplishes this and show that it can successfully produce reliable parts decompositions on real range data.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank P. Ferrie, A. Lejeune, and D. Baird "Curvature, scale, and segmentation", Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); https://doi.org/10.1117/12.58576
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Evolutionary algorithms

Image segmentation

Machine vision

Robotics

Artificial intelligence

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