Infrared and visible image registration using feature and area for image fusion

Xiuqiong Zhang; Hongyin Qin; Mingrong Wang; Jian Yang

doi:10.1117/12.920219

11 January 2012 Infrared and visible image registration using feature and area for image fusion

Xiuqiong Zhang, Hongyin Qin, Mingrong Wang, Jian Yang

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83490E (2012) https://doi.org/10.1117/12.920219
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

An image registration method is proposed in this paper for accurately aligning two images of the same scene captured simultaneously by visible CCD and IR (infrared) cameras. In image fusion systems, CCD and IR sensors are physically aligned as closely as possible and yet significant image mis-alignment remains due to differences in field of view, lens distortion and other camera characteristics. So, affine transformation is considered for aligning two images. At first, the corresponding feature point pairs are selected manually and that are used to calculate transform coefficients. Then, the value of the transform coefficients are optimized further by MI (mutual information) in global image. After the unregistered image is transformed by optimal transform coefficients, the accurately registered image can be obtained. The experimental results demonstrate that this method can provide highly accurate registered images for image fusion.

Citation Download Citation

Xiuqiong Zhang, Hongyin Qin, Mingrong Wang, and Jian Yang "Infrared and visible image registration using feature and area for image fusion", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490E (11 January 2012); https://doi.org/10.1117/12.920219

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