Adaptive multiscale based algorithm for defect segmentation in welding seam X-ray image
基于自适应多尺度焊缝X光图像缺陷分割研究

Defects in welding seam X-ray images include similar circular defects and similar bar defects. According to the theory of multiscale edges detection, the conclusion was drawn that in appropriate scale, circular defects are considered as roof edges in two directions that are orthogonal, while bar defects are viewed as roof edges in one direction. Wavelet scales can be confirmed by region homogeneity measure in this paper. LOG operator and filter scales of steerable filters were actively ascertained in the defect areas so that the two types of defects could be segmented. Theoretical analysis and experimental results show that this algorithm is effective.