We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A computationally efficient approach for template matching-based image registration.
- Authors
GAIDHANE, VILAS; HOTE, YOGESH; SINGH, VIJANDER
- Abstract
Image registration using template matching is an important step in image processing. In this paper, a simple, robust and computationally efficient approach is presented. The proposed approach is based on the properties of a normalized covariance matrix. The main advantage of the proposed approach is that the image matching can be achieved without calculating eigenvalues and eigenvectors of a covariance matrix, hence reduces the computational complexity. The experimental results show that the proposed approach performs better in the presence of various noises and rigid geometric transformations.
- Subjects
TEMPLATE matching (Digital image processing); IMAGE registration; IMAGE processing; COVARIANCE matrices; EIGENVALUES; EIGENVECTORS; GEOMETRY
- Publication
Sādhanā: Academy Proceedings in Engineering Sciences, 2014, Vol 39, Issue 2, p317
- ISSN
0256-2499
- Publication type
Article
- DOI
10.1007/s12046-014-0230-0