Efficient hybrid search algorithm for robust and accurate image alignment under nonuniform illumination variations

Shang-Hong Lai; Ming Fang

doi:10.1117/12.420908

4 April 2001 Efficient hybrid search algorithm for robust and accurate image alignment under nonuniform illumination variations

Shang-Hong Lai, Ming Fang

Author Affiliations +

Proceedings Volume 4301, Machine Vision Applications in Industrial Inspection IX; (2001) https://doi.org/10.1117/12.420908
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Shang-Hong Lai and Ming Fang "Efficient hybrid search algorithm for robust and accurate image alignment under nonuniform illumination variations", Proc. SPIE 4301, Machine Vision Applications in Industrial Inspection IX, (4 April 2001); https://doi.org/10.1117/12.420908

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