Share Email Print

Proceedings Paper

Efficient hybrid search algorithm for robust and accurate image alignment under nonuniform illumination variations
Author(s): Shang-Hong Lai; Ming Fang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top