doi: 10.4304/jsw.9.4.964-969
A Method of Image Registration Based On Best Similarity of Local Geometric Figure
- 1 Guilin Uniersity of Electronic Technology, Guilin,China Nanchang Hangkong University, Nanchang, China
- 2 Nanchang Hangkong University, Nanchang, China
Abstract
Image Registration is an important part of computer vision. We propose a method of image registration by obtaining best similarity of local geometric figure that utilizes opposite core difference (OCD) of corresponding local figure. This method gets initial matching after describing precisely SIFT points by constructing feature subspaces based on the detection of SIFT feature points. Then we describe the corresponding similarity by OCD of local figure constructed by SIFT points and choose the feature points that possess highest similarity measure as point set to compute projective transformation matrix <em>T<sub>opt</sub></em><sub> </sub>. Experiments have proved that the precision of the matrix <em>T<sub>opt</sub></em><sub> </sub> and the Image matching is at a high level.
Keywords
- SIFT feature subspace
- local geometric s
How to Cite
Zetao Jiang, Le Zhou, and Liwen Zhang, "A Method of Image Registration Based On Best Similarity of Local Geometric Figure," Journal of Software, vol. 9, no. 4, pp. 964-969, 2014. https://doi.org/ 10.4304/jsw.9.4.964-969
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).