An Improved Harris Corner Detection Algorithm Based on Adaptive Gray Threshold

摘要：

　　In view of the problem that the threshold value of Harris corner detection algorithm needs to be adjusted according to the specific image situation when judging whether the target pixel point is a corner point,and it is difficult to select the threshold value.An improved Harris corner detection algorithm is proposed.For improve the self-adaptability of the algorithm,adaptive threshold is adopted.Experimental results show that the improved algorithm is more accurate and stable than the original algorithm.

关键词： Adaptive threshold corner detection

作者: Chao Han Fucheng You Shaomei Wang

作者单位: Beijing Institute of Graphic Communication,No.1,Xinghua Street(two section),Daxing District,Beijing,China

会议类型: 国际会议

会议名称: 2019 4th International Conference on Automatic Control and Mechatronic Engineering (ACME 2019) 2019年第四届自动控制与机电工程国际会议(ACME 2019)

会议地点: 重庆

会议语种:英文

页码: 297-301

在线出版日期: 2019-05-30（万方平台首次上网日期，不代表论文的发表时间）