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Research on the Algorithm of the Detection of Weld Image Edge Based on Lines Positioning Theory

机译:基于线定位理论的焊接图像边缘检测算法研究

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摘要

To solve the difficulty in processing the weld image of multi-threshold and small size using the traditional image processing algorithms, image preprocessing has been optimized combining with the traditional mode of image processing. The maximum distance location algorithm and the line grey location algorithm have been designed on the basis of lines position combining with the specific characteristics of the weld image. These two algorithms are applied to process the weld image of multi-threshold and small size. Finally the wrong values of the weld images are removed according to the Pauta rule, thus achieving a linear correction of the edge. This paper introduces the basic ideas and the implementation methods of the two positioning algorithms in details. The experimental results show that the two algorithms can effectively resistant the interferences of noise, have a high precision positioning, and retain edge images with better detail characteristics.
机译:为了解决使用传统的图像处理算法处理多阈值和小尺寸的焊接图像的难度,通过传统的图像处理模式优化了图像预处理。最大距离位置算法和线灰色位置算法已经基于与焊接图像的特定特性组合的线位置设计。应用这两种算法来处理多阈值和小尺寸的焊接图像。最后根据Pauta规则去除焊接图像的错误值,从而实现边缘的线性校正。本文介绍了两个定位算法的基本思想和实施方法详细信息。实验结果表明,两种算法可以有效地抵抗噪声的干扰,具有高精度定位,并具有更好的细节特性的边缘图像。

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