A Geometric Distortion Rectification Method for Wide Field of View Camera

DOI

10.2991/ice2me-19.2019.7How to use a DOI?

Keywords

CCD; LCD; geometric distortion; geometric rectification

Abstract

In large-size, high-resolution LCD measurement systems, images acquired by wide field of view (WFOV) cameras exhibit significant geometric distortion. To solve this problem, this paper presents a global parameter guided camera geometric distortion rectification method, which estimates the local geometric rectification parameters of the camera by a calibrating image and corrects the subsequent measured images. Firstly, the global parameters of the camera are initially estimated in coarse-grained, and the approximate position of the feature points in the distorted calibrating image. Secondly, using the method of finding centroid with threshold to calculate the exact position of feature points in the neighborhood of the estimated position. Finally, the local geometric rectification parameters of the camera are calculated in fine-grained. The experimental results show that the measurement accuracy of the WFOV camera for LCD can reach sub-pixel level after rectification by this method, and it can be easily implemented in parallel, reduce computing time. It can meet the requirements of LCD inspection, quality assessment, de-Mura and so on.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tong Li
AU  - Jianjun Huang
AU  - Yuan Zhang
AU  - Shiren Liu
PY  - 2019/03
DA  - 2019/03
TI  - A Geometric Distortion Rectification Method for Wide Field of View Camera
BT  - Proceedings of the 2019 International Conference on Electronical, Mechanical and Materials Engineering (ICE2ME 2019)
PB  - Atlantis Press
SP  - 27
EP  - 30
SN  - 2352-5401
UR  - https://doi.org/10.2991/ice2me-19.2019.7
DO  - 10.2991/ice2me-19.2019.7
ID  - Li2019/03
ER  -