The least square optimization in image mosaic

Yu-dong Zhang; Yong-yue Yang

doi:10.1117/12.2181212

6 March 2015 The least square optimization in image mosaic

Yu-dong Zhang, Yong-yue Yang

Proceedings Volume 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation; 94462Y (2015) https://doi.org/10.1117/12.2181212
Event: International Symposium on Precision Engineering Measurement and Instrumentation, 2014, Changsha/Zhangjiajie, China

Abstract

Image registration has been a hot research spot in the computer vision technology and image processing. Image registration is one of the key technologies in image mosaic. In order to improve the accuracy of matching feature points, this paper put forward the least square optimization in image mosaic based on the algorithm of matching similarity of matrices. The correlation coefficient method of matrix is used for matching the module points in the overlap region of images and calculating the error between matrices. The error of feature points can be further minimized by using the method of least square optimization. Finally, image mosaic can be achieved by the two pair of feature points with minimized residual sum of squares. The experimental results demonstrate that the least square optimization in image mosaic can mosaic images with overlap region and improve the accuracy of matching feature points.

Citation Download Citation

Yu-dong Zhang and Yong-yue Yang "The least square optimization in image mosaic", Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94462Y (6 March 2015); https://doi.org/10.1117/12.2181212

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available