Laser Stripe Extraction of V-Shaped Weld Seam Based on Visual Attention Mechanism
A method of fusing laser stripe color features and directional features is proposed for the problem of low accuracy in ex-tracting laser stripe of V-shaped weld bevels from a background with uneven brightness.The color features of the laser stripe in the weld image are firstly obtained by FT(Frequency-Tuned)algorithm.And the single directional feature maps of the laser stripe are obtained by using Gabor filtering.Then the noise is eliminated by threshold segmentation of each directional map.The direc-tional feature map is obtained by equal proportional weighted fusion.A multilayer cellular automaton is used to fuse the color fea-ture map and the refined direction feature map to obtain the weld laser stripes.The experimental results show that the method is simple and effective with good results and high accuracy,and it lays the foundation for the subsequent work.
NETL
NSTL
万方数据
维普
