Calculation of DI and PVI in RT based on Bezier fitting
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摘要: 为了进一步论证Bezier拟合对射线检测中焊缝缺陷指数（DI）和峰谷指数（PVI）的重要性和影响特性，系统地分析了Bezier拟合的特点和作用、DI和PVI的定义及计算方法等，以实际的工业焊缝射线检测图像为例，开展了在不同方法下的拟合对比试验和不同缺陷下的DI和PVI计算对比试验。试验结果表明，采用Bezier拟合方法不仅可巧妙地滤除射线检测图像的噪声和局部波动，而且可准确地反映缺陷引起的局部畸变，使DI和PVI的计算更精准。
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关键词:
- 射线检测图像 /
- 焊缝缺陷指数和峰谷指数 /
- Bezier拟合 /
- 影响特性
Abstract: In order to discuss the importance and influence characteristic of Bezier fitting on welding defect index (DI) and peak-valley index (PVI) in radiographic testing (RT), the characteristic and function of Bezier fitting, definition and computational method of DI and PVI are systematically analysed in this paper. Taking the RT images of industrial weld for example, the comparative computational experiments of DI and PVI under different fitting methods and different defects are carried out. Moreover, the experimental results show that the Bezier fitting method can not only filter the noise and fluctuation skillfully, but also reflect the local distortion caused by the defects accurately,which makes the calculation of DI and PVI more precisely.-
Keywords:
- radiographic testing image /
- DI and PVI /
- Bezier fitting /
- influence characteristic
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