Automatic recognition of coded targets based on a Hough transform and segment matching

Mark R. Shortis; James W. Seager; Stuart Robson; Euan S. Harvey

doi:10.1117/12.476172

10 January 2003 Automatic recognition of coded targets based on a Hough transform and segment matching

Mark R. Shortis, James W. Seager, Stuart Robson, Euan S. Harvey

Proceedings Volume 5013, Videometrics VII; (2003) https://doi.org/10.1117/12.476172
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

This paper will present details of a coded target system that employs a Hough transform and segment matching to automatically recognise and identify the targets in digital images. The code system is based on a square surrounding the central circular target and will be described at a level of detail that would allow the system to be readily duplicated. Pre-detection processes, developed to improve the success rate under unfavourable conditions, and the tests conducted to validate a correct target match will also be described. Finally, the paper will include some examples of the use of the coded targets, drawn from calibrations of digital still cameras and underwater stereo-video systems.

Citation Download Citation

Mark R. Shortis, James W. Seager, Stuart Robson, and Euan S. Harvey "Automatic recognition of coded targets based on a Hough transform and segment matching", Proc. SPIE 5013, Videometrics VII, (10 January 2003); https://doi.org/10.1117/12.476172

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