基于字典的概率松弛法对焊缝图像中裂纹缺陷的提取

Extraction of Crack Defect for Inspection Weld Image Using Dictionary-based Probability Relaxation

提出了一种在焊缝图像中提取裂纹缺陷的方法。该算法首先对含有裂纹缺陷的图像采用基于偏移量的Laplacian算子进行检测处理,对处理后的图像建立有12个基本容许结构的字典模型,应用字典法提供有效的搜索方法,通过迭代,从邻近目标中提取越来越多的上下文信息处理,有效去除噪声,提取裂纹缺陷。实验结果表明:该算法对纵向裂纹能获得较好的连接性及较清晰的轮廓,且有较好的抗噪性,是一种有效的弱显示裂纹检测方法。

An algorithm used to inspect and extract crack defects from weld image is developed in this paper. In this algorithm the weld image is dealt with based on Laplacian operator with offset, and 12 dictionary models for the processed image are established with allowable structure. Effective searching method is provided by the application of dictionary, more context-dependent information is extracted from neighborhood context. Then noise can be effectively reduced and crack defects can be extracted. Experimental results show that longitudinal crack can gain better uninterrupted edges and clearer outline using this algorithm. This algorithm possesses better noise resistance and is a class of inspectionmethod of faint crack.