Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (1): 186-187.DOI: 10.3778/j.issn.1002-8331.2009.01.057
• 图形、图像、模式识别 • Previous Articles Next Articles
ZHU Wei-xing,XIA Li-bing
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朱伟兴,夏利兵
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Abstract: A new algorithm for chessboard corner detection based on USAN is proposed according to sysmmetrical geometry structure of USAN area and apply it to the chessboard images on real photos.The theory of algorithm is simple and it not only can detect corner quickly，but also has the revolving transformation invariability.The result shows that it can quickly detect internal corner from real photos shot by every interior angle and practicability is strong.
Key words: Univalue Segment Assimilating Nucleus（USAN）, chessboard corner, Smallest Univalue Univalue Segment Assimilating Nncleus（SUSAN）
摘要： 根据棋盘角点USAN区域几何结构的对称性，提出基于USAN的棋盘角点检测算法，该算法原理简单，容易实现，不仅能快速检测到角点，而且具有旋转不变性，用他可以检测实际拍摄的棋盘图像。通过实验结果表明该算法能快速准确地检测到从各个角度拍摄的棋盘图像的内部角点，有很强的实用性。
关键词: 同值收缩核区（USAN）, 棋盘角点, 最小核心值相似区域（SUSAN）
ZHU Wei-xing,XIA Li-bing. Algorithm for chessboard corner detection based on USAN[J]. Computer Engineering and Applications, 2009, 45(1): 186-187.
朱伟兴,夏利兵. 基于USAN的棋盘角点检测算法[J]. 计算机工程与应用, 2009, 45(1): 186-187.
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URL: http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.01.057
http://cea.ceaj.org/EN/Y2009/V45/I1/186
