Journal of South China University of Technology(Natural Science Edition) ›› 2004, Vol. 32 ›› Issue (6): 1-4.

    Next Articles

Acquirement of Welding Seam Information Based on Fractal Theory

Zhu Ruolei  Huang Shisheng  Zhang Hongbing  Feng Sang   

  1. College of Mechanical Engineering, South China Univ. of Tech. , Guangzhou 510640, Guangdong, China
  • Received:2003-08-26 Online:2004-06-20 Published:2015-09-09
  • Contact: 朱若磊（1973-），男，博士生，主要从事图像处理及自动控制的研究. E-mail:hgzzz1973@163.com
  • About author:朱若磊（1973-），男，博士生，主要从事图像处理及自动控制的研究.

PDF

162

Abstract:

In the weld seam-tracking system based on machine vision, the welding seam images acquired in the welding process are mixed with strong noises because of the effect of welding conditions. This makes it difficult to get precise seam situation. In this paper, a new edge extraction algorithm based on the fractal theory was introduced to seek welding edge's position in the seam images with noises. In this algorithm, seam images are analyzed depending on the fractional Brownian field model, and the fractal dimension of some pixels and their neighborhood in seam images are calculated by selecting the scaleless range properly, thus distinguishing the seam edge area. The proposed algorithm was then applied to process the images with noises in natural light and arc light (mixed gas shielded welding). The result shows that this algorithm can be used to Correctly extract the position information of welding seam even with strong interference, with the central position error of welding seam less than 0.3mm.

Key words: fractal theory, edge extrection, welding seam-tracking

CLC Number: