Segment-based registration technique for visual-infrared images

Enrique Coiras; Javier Santamaria; Carlos Miravet

doi:10.1117/1.602363

1 January 2000 Segment-based registration technique for visual-infrared images

Enrique Coiras, Javier Santamaria, Carlos Miravet

Optical Engineering, Vol. 39, Issue 1, (January 2000). https://doi.org/10.1117/1.602363

A new general registration method for images of different nature is presented. As gray levels or textures cannot be used for the registration of images from separate spectral bands, an edge-based method has been developed. Edge images are processed to extract straight linear segments, which are then grouped to form triangles. A set of candidate transformations is determined by matching triangles from the source and destination images. The transformations are then evaluated by matching the transformed set of source segments to the set of destination segments. As the coincidence of vertices or edge overlapping cannot be assumed in the registration of images of different nature, a new function for evaluating the matching quality between source and destination segments that does not rely on overlapping measures is proposed. Results and subjective evaluation of the registration of visual and thermal infrared images are presented.

Citation Download Citation

Enrique Coiras, Javier Santamaria, and Carlos Miravet "Segment-based registration technique for visual-infrared images," Optical Engineering 39(1), (1 January 2000). https://doi.org/10.1117/1.602363

Published: 1 January 2000

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