摘要
提出了一种有效的圆形小幅员目标检测方法,首先对原始图像进行一定的预处理,并提取和细化边缘,通过有约束的边缘跟踪方法剔除大量的干扰背景边缘点和噪声,并以分段等间隔点组采样进行圆参数计算,大大减少了参数的无效累积。实验结果表明,该方法对复杂背景下圆形小幅员目标的检测结果可靠性高,实时性好。
An efficient approach for small circle dimensionality target detection was proposed.The origin image was pre-processed according to its characteristics firstly,and then edges were abstracted and thinned.By the edge tracking under constraints,a great deal of interference was eliminated.Then points sampled with equal interval from subsections of the edge-lines were used to calculate the circle parameters,which reduced the inefficacy calculating enormously.The experiment results indicate that this approach has good reliability and real-time performance.
出处
《红外与激光工程》
EI
CSCD
北大核心
2007年第z2期167-172,共6页
Infrared and Laser Engineering
关键词
圆形小幅员目标
预处理
边缘约束跟踪
等间隔点组采样
参数累积
Small circle dimensionality target
Pre-processed
Edge-tracking under constraints
Points sampled with equal interval
Parameters cumulate
