Checkerboard image processing under uneven illumination for robust Harris corner detection in camera calibration

J.-P. Liu; Z. Yang; H. Huo; T. Fang

doi:10.1117/12.2503575

9 August 2018 Checkerboard image processing under uneven illumination for robust Harris corner detection in camera calibration

J.-P. Liu, Z. Yang, H. Huo, T. Fang

Author Affiliations +

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080664 (2018) https://doi.org/10.1117/12.2503575
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

Harris corner detection in checkerboard images for camera calibration often suffer from uneven illumination. The key to camera calibration lies in that how to robustly detect corners from the degraded images. To this end, an image processing method is proposed to deal with non-uniform illumination problems. Experiments show that the stabilities of Harris corner detection under uneven illumination are improved obviously.

Citation Download Citation

J.-P. Liu, Z. Yang, H. Huo, and T. Fang "Checkerboard image processing under uneven illumination for robust Harris corner detection in camera calibration", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080664 (9 August 2018); https://doi.org/10.1117/12.2503575

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