Computer and Modernization ›› 2012, Vol. 1 ›› Issue (1): 64-66.doi: 10.3969/j.issn.1006-2475.2012.01.017

• 图像处理 • Previous Articles     Next Articles

Sub-pixel Corner Detection Algorithm of Chessboard Image Based on Improved SUSAN Operator

WANG Rui1, YANG Run-ze1, YIN Xiao-chun1, LUO Zhi-hai1,2   

  1. 1. Mechanical Manufacturing and Automation Lab, Ordnance Engineering College, Shijiazhuang 050003, China;2. Unit 66077, Chinese People’s Liberation Army, Datong 037044, China
  • Received:2011-09-27 Revised:1900-01-01 Online:2012-01-10 Published:2012-01-10

Abstract: One of the disadvantages of the SUSAN operator is that it just takes into account USAN’s size without considering USAN’s shape in detecting feature points. It’s difficult to distinguish the chessboard corners and edge points for the SUSAN algorithm. Therefore another SUSAN circular mask is added within the SUSAN circular mask to overcome this defect. Moreover, sub-pixel coordinates corners are calculated with quadric surface fitting. Experimental results show that the proposed algorithm has high precision and can provide reliable data for high-precision camera calibration.

Key words: chessboard, SUSAN operator, corner detection, sub-pixel

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