| 摘要 |
PURPOSE:To obtain a method for detecting the welded part of a steel pipe utilized for the nondestructive inspection of the welded part, marking and the like. CONSTITUTION:With a steel pipe 1 being rotated, the image signal of the inner surface of the pipe is extracted by using a TV camera 6. The amount of the features of the images of the inner surface of the pipe having the intrinsic value of the kind of the pipe is extracted based on the obtained image signal. The welded part and the base material are identified with a neural net 8, wherein the amount of the features of the images of the inner surface of the kind of the pipe to be detected is learned and stored beforehand. Thus, the welded part is detected. The size of the field of view is changed by adjusting the brightness of lighting, the lens of the camera and the like. The workings such as nondestructive inspection, marking and the like can be performed highly efficiently and highly accurately by nonlinear discrimination and pattern recognition based on neural net work learning. |
