摘要
圆心定位是摄影测量学中常用的关键技术,圆形人工标志的检测和定位算法有中值法、质心法等。由于中值法和质心法容易受到噪声影响,会对定位圆心带来干扰,在一些领域应用中受到限制。基于此,提出一种改进的自适应阈值质心法圆心定位算法,统计圆形标志的像素数,排除由噪声影响造成的非圆形目标的干扰,同时记下边缘点位置。利用计算出的圆心位置和统计的边缘位置得到圆形目标的大小。实验表明,该算法能够成功定位圆心和半径并排除噪声的干扰。
Center location is a key technology used commonly in photogrammetry .The algorithm of detection and localization about circular artificial mark are Median method and Centroid method .The Median method and Centroid method are easily affected by noise .It can disturb the localization of center .So it is limited in some fields .In light of this ,the paper presents an improved adaptive threshold circle Centroid location algorithm through priori knowledge of the number of pixels of circle mark and the position of the edge point .Using the calculated center position and statistical position of the edge it can get the size of the circular target .The experiment shows the algorithm can locate center of circle and remove the effect of noise .
出处
《测绘工程》
CSCD
2016年第4期15-18,共4页
Engineering of Surveying and Mapping
关键词
圆心定位
阈值
人工标志
精度
噪声
自适应
center location
threshold
artificial mark
accuracy
noise
self-adaption
