doi: 10.4304/jsw.6.5.791-797
An Automated X-corner Detection Algorithm (AXDA)
- 1 School of Computer and Communication,Lanzhou University of Technology，Lanzhou,Gansu,P.R.China
- 2 Key Laboratory of Gansu Advanced Control for Industrial Processes
Abstract
According to the central symmetry and brightdark alteration of the four peripheral regions at the Xcorner, an automated X-corner detection algorithm (AXDA) is presented to camera calibration problem. By detecting the gray changes of the image, the algorithm can locate the position of X-corner accurately using the minimum correlation coefficient of the symmetry regions. Cross points of intersection are calculated using the detection points and the least square straight line fitting algorithm. The method can not only realize the sub-pixel X-corner extraction, but also resolve the low automation degree problem of the present detection algorithm under complex background. Experiment results show that the algorithm is an easilyrealized, highly-automated and robust method for rotation transform and brightness transform of the X-corner image.
Keywords
- chessboard
- corner detection
- camera cal
How to Cite
Fuqing Zhao, Chunmiao Wei, Jizhe Wang, and Jianxin Tang, "An Automated X-corner Detection Algorithm (AXDA)," Journal of Software, vol. 6, no. 5, pp. 791-797, 2011. https://doi.org/ 10.4304/jsw.6.5.791-797
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).