By Topic

Image matching through combined features of singular value and region

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

This paper proposes a new algorithm that combines the region feature and singular value vector in facing the instability when using the singular value vector separately in image matching to get a more accurate matching. The approximate singular value vector has been defined in this paper based on the fact that the singular value has a robust performance invariant to light the image disturbance and it is qualified to represent the image as an algebraic feature in general instance. A kind of region similarity of two binary images has also been defined in the algorithm. Experiments are performed on a large test set and the results demonstrate that the proposed algorithm has more veracious capabilities than the method using singular value vector separately.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:6 )

Date of Conference:

26-29 Aug. 2004