基于拉东变换和模糊增强的结构光焊缝跟踪图像处理
Image processing in welding seam tracking with structure-light based on Radon transform and fuzzy-enhancement
-
摘要: 针对激光结构光引导焊缝跟踪过程中图像特点，首先对图像进行多角度拉东变换，然后找到变换后的图像中的激光条纹所对应奇异点，保持该奇异点附近点像素值不变，削弱该奇异点远点像素值，再进行拉东逆变换复原图像；最后采用模糊增强法对复原后的图像进行处理，可以获得清晰且少噪声的结构光图像.结果表明，该方法效果良好，抗干扰性较强，耗时较少，适合于激光视觉焊缝跟踪过程.Abstract: According to the image characteristics in weld seam tracking based on laser structured light, multi-angle Radon transform is used first, and then the singular point in the transformed corresponding to the laser stripe in the original image is found, keep the pixels value unchanged near the singular point and decrease the pixels value far from the singular point, after that inverse radon transform is carried out to recover original image. Finally, fuzzy enhancement method is used to get clear structured image with little noise. This method can bring good effects, and the anti-disturbance performance is well, it costs little additionally, therefore it is suitable for seam tracking based on laser vision.
-
Keywords:
- laser structured light /
- weld seam tracking /
- Radon transform /
- fuzzy enhancement
-
-
[1] 张为民, 王国荣, 石永华, 等. 基于结构光的水下焊接熔池宽度在线检测[J]. 焊接学报, 2008, 29(6):23-36. Zhang Weimin, Wang Guorong, Shi Yonghua, et al. On-line detection of underwater molten pool width based on structured light[J]. Transactions of the China Welding Institution, 2008, 29(6):23-36. [2] 孙立新, 戴士杰, 李 概, 等. 基于线结构光的多道焊跟踪系统图像处理[J]. 焊接学报, 2002, 23(3):53-55. Sun Lixin, Dai Shijie, Li Kai, et al. Research on the image processing of multi-pass seam based on line structure light[J]. Transactions of the China Welding Institution, 2002, 23(3):53-55. [3] 刘苏宜, 李 冰, 张 华, 等. 激光视觉水下焊缝图像处理与特征提取[J]. 焊接学报, 2011, 32(9):45-48. Liu Suyi, Li Bing, Zhang Hua, et al. Feature extraction and image processing for underwater weld with laser vision[J]. Transactions of the China Welding Institution, 2011, 32(9):45-48. [4] 候 彪, 刘 芳, 焦李成. 基于脊波变换的直线特征检测[J]. 中国科学(E辑), 2003, 33(1):65-73. Hou Biao, Li Fang, Jiao Licheng. Line feature detection based on radon transform[J]. Science in China(Series E), 2003, 33(1):65-73. [5] 胡东红, 谭 辉, 陈莘萌. Radon变换在二维条码图像识别中的应用[J]. 武汉大学学报(理学版), 2005, 51(5):584-588. Hu Donghong, Tan Hui, Chen Xinmeng. The application of Radon transform in 2D barcode image recognition[J]. J. Wuhan Univ. (Nat.Sci. Ed.), 2005, 51(5):584-588. [6] 冈萨雷斯, 伍兹. 数字图像处理(第三版)[M]. 阮秋琦, 阮宇智, 译. 北京:电子工业出版社, 2011. [7] Pal S K, King R A. One edge detection of X-ray images using fuzzy sets[J]. IEEE Trans., PAM I, 1983, 5(1):69-77. [8] 刘习文, 蒋艳荣, 罗显光. 一种改进的图像模糊增强算法[J]. 计算机工程与应用, 2008, 44(4):50-52. Liu Xiwen, Jiang Yanrong, Luo Xianguang. Improved image fuzzy-enhancement algorithm[J]. Computer Engineering and Application, 2008, 44(4):50-52. [9] Otsu N. A threshold selection method from gray-level histogram[J]. IEEE Trans. SMC, 1979, 9(1):62-66. -
期刊类型引用(5)
1. 李波，马鑫，张军，武鹏博，刘铁君，刘阳. 铝合金焊丝送丝稳定性测试分析. 焊接. 2024(07): 74-80 . 
百度学术
2. 胡高斌，钱勇武，钟治琨，彭浩，薛泳泳，陆伟. 汽轮机用铝/钢接头MAO层结构和腐蚀性能分析. 电镀与精饰. 2023(01): 33-38 . 百度学术
3. 李健，张猛，吕亚君. 4043铝合金焊材生产关键技术研究. 云南冶金. 2023(02): 90-95 . 百度学术
4. 乔波，战中学，张登峰，高世鹰，刘春兰，邬富宝，张世全，郑宏伟，王晓婷，李庭. 4043铝合金热变形行为和热加工图. 热加工工艺. 2019(19): 104-106+109 . 百度学术
5. 路全彬，龙伟民，钟素娟，高雅，张强. 铝合金焊接材料制备研究现状与发展. 焊接. 2016(02): 6-9+69 . 百度学术
其他类型引用(7)
计量
- 文章访问数: 296
- HTML全文浏览量: 2
- PDF下载量: 117
- 被引次数: 12
下载:
