Paper
8 February 2010 A voting decision strategy for image registration under affine transformation
Yasser Almehio, Samia Bouchafa
Author Affiliations +
Proceedings Volume 7532, Image Processing: Algorithms and Systems VIII; 75320B (2010) https://doi.org/10.1117/12.840027
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
A new motion registration method based on specific level-line grouping from two images taken at different times is proposed in this paper. Our approach is an appropriate method for matching outdoor scene image sequences taken from an on-board camera, since it is robust toward contrast changes. Moreover, it does not require any estimate of the unknown transformation between images. The image registration is performed through an efficient level-line cumulative multi-stage election procedure. Each stage provides an improvement in estimating the unknown transformation. We consider in this study that the transformation between successive images is affine, which is a valid hypothesis under small time intervals between images. Our matching process is based upon adapted primitive invariants. Particular emphasis is placed on the primitive grouping process which depends on the nature of the chosen transformation.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yasser Almehio and Samia Bouchafa "A voting decision strategy for image registration under affine transformation", Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 75320B (8 February 2010); https://doi.org/10.1117/12.840027
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KEYWORDS
Image registration

Image processing

Reliability

Feature extraction

Image segmentation

Computer programming

Light sources and illumination

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