针对Hough变换、最优圆拟合两种圆检测算法进行了圆检测效果、算法应用范围及计算效率的对比分析;研发了基于圆检测算法的非接触性动态位移测试方法并应用于大型振动台实验。结果表明:Hough变换圆检测及最优圆拟合圆检测均具有较好的圆参数检测效果。Hough变换圆检测方法更适用于测试背景简单且需单次识别多个标靶圆的工况;最优圆拟合圆检测方法更适用于测试背景复杂的工况。应用非接触性位移测试方法于大型振动台试验中,测试了模型地基土的位移反应。应用基于机器视觉技术的位移测试方法可以有效解决复杂工况下的位移测试问题。
Abstract
Make comparative analysis of circle detection effect, algorithm application range and calculation efficiency according to different circle detection algorithms. Base on circle detection algorithms, vision-based dynamic displacement test method were developed and applied to the large-scale shaking table test. The results show that: Both Hough transform circle detection algorithm and optimal fitting circle detection algorithm have good performance in circle parameters detection. Hough transform circle detection algorithm is more suitable for testing operating conditions in which the test background is simple or need testing multiple target circles at once. Optimal fitting circle detection method is more suitable for testing operating conditions in which the test background is complex. By applying vision-based displacement testing method to large-scale shaking table test, the deformation of model soil foundation was tested. Vision-based displacement test method can effectively solve the problem of displacement testing in complex test conditions .
关键词
Hough变换圆检测 /
最优圆拟合圆检测 /
非接触性位移测试方法 /
振动台试验
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脚注
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