提出了一种自适应角点检测算法(ACPDA),以解决CPDA算法采用全局阈值去除伪角点所存在的缺陷,即无法正确处理邻近角点、钝形角点和圆形角点的问题。该算法的优势主要包括:1)提出了角点邻域再检测方法,实现对邻近角点的有效检测,同时使角点定位更加精确;2)为每条曲线构造了一个曲线自适应阈值来去除伪角点,避免了钝形角点的丢失;3)构造角点局部自适应阈值来有效去除圆形角点。对比实验表明,ACPDA算法降低了漏检角点数和伪角点数,具有更好的检测性能。

An improved adaptive Chord-to-Point distance accumulation algorithm (ACPDA) is proposed which can handle adjacent corners, obtuse corners, and round corners. The main advantages of our implementation include: 1) the neighborhood of the candidate corners is re-detected for avoiding loss of the adjacent corners, which making the localization of corners more precise; 2) an adaptive threshold for each curve is set for removing the false corners, avoiding loss of the obtuse corner; 3) a local adaptive threshold is constructed to remove the round corners effectively. The experimental results have evaluated the performance of the ACPDA.