Adaptive corner detection based on chord-to-point distance accumulation
点到弦距离累加的自适应角点检测

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.