Nondestructive test in the power, petroleum, chemical industry, aviation, aerospace, marine, etc have been widely used in the field, that can more accurately detect magnetic products and the workpiece surface and internal defects, can effectively reduce the risk of accidents from happening. Methods for magnetic particle testing beginners the defects on the surface and nearsurface defects of the learning and understanding of needs, effectively grasp of crack defects identification and quantification methods, articles to the typical method of crack defect detection were studied, produced can be used for comparison of magnetic particle inspection of training and engineering, defect rate of 80%.
Deep-Learning Based Segmentation Algorithm for Defect Detection in Magnetic Particle Testing Images *
