Regular Articles

Incorporating global information in feature-based multimodal image registration

[+] Author Affiliations
Yong Li

University of Notre Dame, Department of Electrical Engineering, Indiana 46556

Robert Stevenson

University of Notre Dame, Department of Electrical Engineering, Indiana 46556

J. Electron. Imaging. 23(2), 023013 (Apr 01, 2014). doi:10.1117/1.JEI.23.2.023013
History: Received August 17, 2013; Revised February 20, 2014; Accepted February 28, 2014
Text Size: A A A

Abstract.  A multimodal image registration framework based on searching the best matched keypoints and the incorporation of global information is proposed. It comprises two key elements: keypoint detection and an iterative process. Keypoints are detected from both the reference and test images. For each test keypoint, a number of reference keypoints are chosen as mapping candidates. A triplet of keypoint mappings determine an affine transformation that is evaluated using a similarity metric between the reference image and the transformed test image by the determined transformation. An iterative process is conducted on triplets of keypoint mappings, keeping track of the best matched reference keypoint. Random sample consensus and mutual information are applied to eliminate outlier keypoint mappings. The similarity metric is defined to be the number of overlapped edge pixels over the entire images, allowing for global information to be incorporated in the evaluation of triplets of mappings. The performance of the framework is investigated with keypoints extracted by scale invariant feature transform and partial intensity invariant feature descriptor. Experimental results show that the proposed framework can provide more accurate registration than existing methods.

Figures in this Article
© 2014 SPIE and IS&T

Citation

Yong Li and Robert Stevenson
"Incorporating global information in feature-based multimodal image registration", J. Electron. Imaging. 23(2), 023013 (Apr 01, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.2.023013


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.