焊缝缺陷的超声检测图像识别方法

摘要

Internal defects are the main factor which affect the quality of welded structures. In order to analyze the internal defects of the weld, image data with high sensitivity and sharp edges is needed to acquire. Detection method of noised color image edge based on morphology is proposed according to the characteristics of the welded defects and specialty of sound image. This paper achieves the effective segmentation of the defect information through filter process of original image, distinguishes the characteristics of defects by mathematical statistical method based on characteristics of defects. Finally, experiment proves that this method have a relatively good result for correct identification of the defects.%内部缺陷是影响焊接结构质量的主要因素。为了分析焊缝内部缺陷，快速得到敏感度高、边缘清晰的图像数据，本文根据焊缝缺陷的特点，结合声图像的特殊性，采用基于形态学的有噪彩色图像边缘检测方法，对原始图像进行滤波处理，实现了缺陷信息的有效分割，然后根据缺陷的特点通过数学统计的方法统计缺陷的特征值，最后通过实验证明该方法对缺陷的正确识别具有比较好的效果。