Abstract
Image registration has been an attractive research area of image processing; it has wider applications in many fields such as pattern recognition, image fusion, computer vision, and other practical problems. Due to the multi-resolution features, wavelet becomes the focus of research new algorithm and improves the traditional matching algorithm. Based on the study of traditional Harris corner detection algorithm, combined with wavelet transform, proposed an image registration algorithm based on the wavelet edge detection and Harris corner detection.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
B. Zitova, J. Flusser, Image registration methods: a survey. Image Vis. Comput. 21, 977–1000 (2003)
Z. Li et al., Approaching the capacity of K-user MIMO interference channel with interference counteraction scheme. Ad Hoc Netw. (2016). doi:10.1016/j.adhoc.2016.02.009
C. Harris, M.J. Satephens, A combined corner and edge detector, in 4th Alvey Vision Conference (1988), pp. 147–152
C. Schimid, R. Mohr, C. Bauckhage, Evaluation of interest point detectors. Int. J. Comput. Vis. 37(2), 151–172 (2000)
J. Le Moigne, W.J. Campbell, R.F. Cromp, An automated parallel image registration technique based on the correlation of wavelet features. IEEE Trans. Geosci. Remote Sens. 40(8), 1849–1864 (2002)
J. You, P.A. Bhattacharya, Wavelet-based Coarse-to-fine Image Matching Scheme in a parallel virtual machine environment. IEEE Trans. Image Process. 9(9), 1547–1559 (2004)
Y. Ding, W. Li, Medical image registration algorithm based on the SAM of multi-scale Harris corner. J. Image Graph. 15(12), 1762–1768 (2010)
Z. Fan, C. Wang, High accuracy subpixel image registration based on phase-only correlation of Harris strength. Appl. Res. Comput. 28(2), 788–791 (2011)
H. Bay, T. Tuytelaars, L. Van Gool, SURF: Speed up robust features, in European Conference on Computer Vision (2006), pp. 404–417
Acknowledgements
Project found: 1. Young teachers development and support program of Anhui Technical College of Mechanical and Electrical Engineering (project number: 2015yjzr028); 2. Quality engineering project in Anhui province: specialty of industrial robot (project number: 2015tszy080); 3. Virtual simulation experimental teaching center for industrial robot (project number:2016xnzx007).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sun, Q., Zhang, J. (2018). A Multi-scale Image Registration Algorithm Based on Wavelet Transform. In: Liang, Q., Mu, J., Wang, W., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2016. Lecture Notes in Electrical Engineering, vol 423. Springer, Singapore. https://doi.org/10.1007/978-981-10-3229-5_93
Download citation
DOI: https://doi.org/10.1007/978-981-10-3229-5_93
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3228-8
Online ISBN: 978-981-10-3229-5
eBook Packages: EngineeringEngineering (R0)