An Fast Refined Algorithm for Image Mosaic

Yu Ping Feng; Wen Cang Zhao

doi:10.4028/www.scientific.net/AMM.347-350.2989

Paper Titles

Research for Model Based on Petri Nets about Maintenance and Support of Military Aviation Equipment
p.2968

The Convergence of SaaS and SOA Magnify Effect
p.2973

Design and Implementation of Reconfigurable Encryption and Decryption System Based on SOPC
p.2979

Adaptive Semi-Fragile Watermarking Based on Complete Quantization and Image Contents
p.2983

An Fast Refined Algorithm for Image Mosaic
p.2989

A Study in the Technology Implementation of the Network Massive Information Processing Platform
p.2993

3D Visualized Technique for Coalbed Methane Integrated Surface and Underground Drainage
p.2998

Application of a Dynamic Collaborative Learning Oriented Knowledge Model
p.3002

A Relation Oriented System Analysis Method
p.3008

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350An Fast Refined Algorithm for Image Mosaic

An Fast Refined Algorithm for Image Mosaic

Abstract:

In order to improve accuracy and speed of image mosaic, an optimized algorithm of image mosaic based on corners is presented. Frequency phase correlation is used to estimate the overlapping area, in which improved Harris operator is used to extract corners. Then, rough and RANSAC accurate matching will be completed. Finally, image variance combined linear weight function is used to implemented image fusion and mosaic, and it presents quantitative analysis method about registration accuracy. Experimental results show that this algorithm exceeds existing ones at matching speed about 40%, and has a desired visual effect. The MAD and RMSE of corresponding points is within 1 pixel precision.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

2989-2992

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.2989

Citation:

Cite this paper

Online since:

August 2013

Authors:

Yu Ping Feng, Wen Cang Zhao

Keywords:

Corner Detection, Image Fusion, Image Mosaic, RANSAC

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] B ZITOVA, J FLUSSER, Image registration methods : a survey, ', Image and Vision Computing, 2003, vol. 21(11), pp.977-1000.

DOI: 10.1016/s0262-8856(03)00137-9

Google Scholar

[2] R Szeliski, Image Alignment and Stitching: A Tutorial, ', Richard Szeliski Preliminary draft, January 26, 2005, Technical Report, MSR-TR-2004-92.

Google Scholar

[3] L H CAI, L H LIAO, D H GUO, Study on image stitching methods and its key technologies, ', Computer Technology and Development, 2008, vol. 18(3), pp.1-4.

Google Scholar

[4] Y Y GAO, J F YANG, X L MA, Interference image registration based on Fourier–Mellin algorithm,. Optics and Precision Engineering, 2007, vol. 15(9) , pp.1415-1420.

Google Scholar

[5] J HE , Y S LI, H LU H, Research of UAV Image Mosaic Based on SIFT, Opto-Electronic Engineering, 2011, vol. 38(2) , pp.122-126.

Google Scholar

[6] J ZHU, M W REN, YANG Z J, Fast Matching Algorithm Based on Corner Detection , Journal of Nanjing University of Science and Technology, 2011, vol. 35(6), pp.755-758.

Google Scholar

[7] G Y Tian, D Gledhill, D Taylor, Comprehensive interest points based imaging mosaic, Pattern Recognition Letters, 2003, vol. 24, p.1171–1179.

DOI: 10.1016/s0167-8655(02)00287-8

Google Scholar

[8] M Fischler, R BSolles, Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, 1981, vol. 24 (6), p.381–395.

DOI: 10.1145/358669.358692

Google Scholar