Abstract: |
Aiming at the problem of inaccurate detection of severely obstructed parts in existing methods for detecting the correctness of gunpowder fuse assembly, a layered imaging positioning detection algorithm for steel balls in fuses is proposed. Firstly, move the X ray source in a straight line to scan the object to be tested to form multiple virtual small apertures; Secondly, based on the principle of optical synthetic aperture, all small apertures are synthesized; Finally, the synthesized virtual large aperture is imaged on planes at different distances and depths to achieve target localization and detection. The experimental results show that the proposed algorithm can use depth information for layered imaging in the case of overlapping steel balls in the powder fuse, providing depth information of the object to be tested, and then detecting targets at different levels to determine the number of objects to be tested, solving the problem of missed detection in existing detection methods during the detection process. |