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Proceedings Paper

Efficient hybrid search algorithm for robust and accurate image alignment under nonuniform illumination variations
Author(s): Shang-Hong Lai; Ming Fang
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Paper Abstract

Image alignment is the most crucial problem in industrial visual inspection. Traditional intensity-matching based methods, including the normalized correlation method, are not robust against non-uniform illumination variations. In this paper, we present a generalized intensity-based matching approach to accomplish accurate and robust image alignment under high-level noises and large non-uniform illumination variations. This generalization is an extension of our previous FLASH (Fast Localization with Advanced Search Hierarchy) algorithm for image alignment.

Paper Details

Date Published: 4 April 2001
PDF: 12 pages
Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); doi: 10.1117/12.420908
Show Author Affiliations
Shang-Hong Lai, National Tsing-Hua Univ. (Taiwan)
Ming Fang, Siemens Corporate Research, Inc. (United States)


Published in SPIE Proceedings Vol. 4301:
Machine Vision Applications in Industrial Inspection IX
Martin A. Hunt, Editor(s)

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