Fig. 4. Gray level matching according to echo signal reflected at the welding point.
Fig. 5. Proposed block diagram consisting of C-Scan image colorization and automatic welding quality evaluation algorithm.
Fig. 6. C-Scan image (a) with improved brightness and spatial resolution, (b) filtered by Gaussian filter with variance of 8, (c) by closing operation of the morphology and (d) by color mapping.
Fig. 7. C-Scan image of (a) binarization of closing image, (b) edge detection, (c) circumscribed circle, and (d) in-scribed circle of welding point.
Fig. 8. Circumscribed circle and inscribed circle ma-tched on (a) color C-Scan image and (b) weld-ing image.
Fig. 9. Structure of 2D ultrasonic transducer with 64 channel.
Fig. 1. (a) Measuring using ultrasonic probe and (b) echo signal presentation in A-Scan mode.
Fig. 2. (a) Measuring using ultrasonic probe and (b) echo signal presentation in C-Scan mode.
Fig. 3. (a) Front image and (b) both side expressed im-ageby S-Scan probe
Fig. 10. (a) C scan color images and (b) welding images found to be“defective.”
Fig. 11. (a) C scan color images and (b) welding images found to be“good.”
Fig. 12. (a) C scan color images and (b) welding images found to be“very good.”
References
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