Defect detection method based on 2D entropy image segmentation

更新时间:2023-05-28

【摘要】In order to improve the work efficiency of non-destructive testing(NDT) and the reliability of NDT results, an automatic method to detect defects in the ultrasonic image was researched. According to the characterization of ultrasonic D-scan image, clutter wave suppression and de-noising were presented firstly. Then, the image is processed by binaryzation using KSW 2 D entropy based on image segmentation method. The results showed that, the global threshold based segmentation method was somewhat ineffective for D-scan image because of under-segmentation. Especially, when the image is big in size, small targets which are composed by a small amount of pixels are often undetected. Whereas, local threshold based image segmentation method is effective in recognizing small defects because it takes local image character into account.

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