JOURNAL ARTICLE

<title>Curvature, scale, and segmentation</title>

Frank P. FerrieAude LejeuneDarren Baird

Year: 1992 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 1708 Pages: 240-250   Publisher: SPIE

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.

Keywords:
Computer science Segmentation Scale (ratio) Curvature Scale space Boundary (topology) Object (grammar) Image segmentation Artificial intelligence Enhanced Data Rates for GSM Evolution Computer vision Space (punctuation) Range (aeronautics) Cover (algebra) Decomposition Algorithm Pattern recognition (psychology) Geometry Image (mathematics) Mathematics Image processing Cartography

Metrics

2
Cited By
0.55
FWCI (Field Weighted Citation Impact)
0
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering

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