基于束波变换的焊缝图像处理技术

邓双城; 蒋力培; 焦向东; 薛龙; 邓晓彬

基于束波变换的焊缝图像处理技术

1.
北京石油化工学院, 光机电装备技术北京市重点实验室, 北京 102617
2.
中国空间技术研究院, 北京卫星制造厂, 北京 100080

基金项目: 国家863高技术研究发展计划项目资助(2006AA09A310,2006AA09Z329);北京市教育委员会科技计划项目(08010921003)

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- 收稿日期: 2008-05-20

Image processing of weld seam based on beamlet transform

1.
Opto-Mechatronic Equipment Technology Beijing Area Major Laboratory, Beijing Institute of Petrochemical Technology, Beijing 102617, China
2.
Beijing Spacecrafts, China Academy of Space Technology, Beijing 100080, China

摘要

摘要: 叙述了束波变换的原理,提出了一种基于束波变换的焊缝边缘检测算法,并增加了方向阈值.为了可靠地检测低信噪比的加噪焊缝图像中的焊缝边缘特征,提出了一种二次扫描方法.利用海底干式高压焊接舱中获取的原始焊缝图像和加噪图像进行了焊缝边缘提取试验.结果表明,算法能从富含噪声的焊缝图像中直接检测出焊缝边缘,而无须进行任何预处理或后处理,极大地提高了焊缝图像处理的效率.试验还表明,算法具有很强的抗噪性能,其与二次扫描方法相结合,特别适合于提取低信噪比的焊缝图像中的直线特征。
- 束波变换 /
- 焊缝 /
- 图像处理 /
- 直线检测
Abstract: A novel algorithm based on beamlet transform for detecting weld seam edges was presented. Taking into account of some special characteristics of welding image processing, an orientation-thresholding step as well as a two-scan method to the standard beamlet-based line detection algorithm were introduced. Experiments are conducted to detect weld seam edges in noisy weld seam images to test the anti-noising performance of the algorithm. The result of experiments show that the algorithm is capable of directly extracting weld seam edges from highly noisy weld seam images without any pre-processing or post-processing steps, showing its high efficiency and prominent anti-noising performance. The two-scan method is particularly helpful when coping with low SNR weld seam images.
- beamlet transform /
- weld seam /
- imogemage processing /
- line detection

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文章访问数: 239
HTML全文浏览量: 6
PDF下载量: 85
被引次数: 0

基于束波变换的焊缝图像处理技术

计量

出版历程

Image processing of weld seam based on beamlet transform

计量

出版历程

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