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基于精化曲线拓扑边长的角点增强检测

Enhanced Corner Detection Based on the Topology Boundary of Refined Digital Curves

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【作者】 钟宝江廖文和

【Author】 ZHONG Bao-Jiang;LIAO Wen-He Department of Mathematics, College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 210016 College of Michanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016

【机构】 南京航空航天大学理学院数学系南京航空航天大学机电工程学院

【摘要】 现有的直接角点检测方法难以处理多细节的角点检测问题。为此,本文提出一种角点增强策略:将直接方法所求出的角点强度评估值看成是实际强度值的平滑结果,通过选取适当的平滑函数,如Gauss函数,可以解出实际角点强度值的一个近似。这一策略的使用能够使得真角点容易被检测,而伪角点被有效去除。相应地,得到一种角点检测方法。该方法基于精化曲线的拓扑边长来检测角点,使得检测结果准确可靠,并具有旋转不变性。

【Abstract】 It is difficult for the existing direct corner detectors to perform well on curves with multiple --size features. In this paper a corner enhancement strategy is introduced. Since corner significance value computed by the direct detectors can be viewed as a smoothing result of the real significance, we can get an approximation of the real significance by choosing a reasonable smoothing function, such as Gaussian. With this strategy, the real corners are easily detected and the false corners are efficiently removed. Correspondingly, a new corner detector based on the Topology boundary of refined digital curves is developed. Its performance is robust to image noise and invariant to rotation transformations.

【基金】 国家863高技术研究发展计划资助项目(No.2002AA411030)
  • 【文献出处】 模式识别与人工智能 ,Pattern Recognition and Artificial Intelligence , 编辑部邮箱 ,2005年02期
  • 【分类号】TP274.4
  • 【被引频次】9
  • 【下载频次】80
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