Paper
31 January 2011 Affine image registration with curve mapping
Author Affiliations +
Proceedings Volume 7882, Visual Information Processing and Communication II; 78820G (2011) https://doi.org/10.1117/12.872722
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
This paper proposes an affine image registration technique formulated in a hypothesis-test framework. The technique is based on a mapping algorithm which matches curves and junctions (edge corners) to achieve registration. A similarity metric based on partitioned (short) curves is utilized to narrow the space of possible junction mappings (hypotheses) and the transformation matrix of junction and curve mappings are analyzed (testing) to find the best affine registration of two images. Experimental results show that the proposed algorithms can effectively align images.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Li and Robert L. Stevenson "Affine image registration with curve mapping", Proc. SPIE 7882, Visual Information Processing and Communication II, 78820G (31 January 2011); https://doi.org/10.1117/12.872722
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KEYWORDS
Image segmentation

Image registration

Strontium

Image processing algorithms and systems

Associative arrays

Human vision and color perception

Visualization

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