Research on Detection Method of Gun Bore Defects Based on Image Segmentation Algorithm

Tube inner wall inspection is an important part of the maintenance of large tube parts, which provides a basis for the evaluation of tube performance and the determination of tube life. In this paper, the surface damage algorithm is designed to realize the image processing of the inner tube bore image collected by the inner tube bore detection system, and the location and morphology of the inner tube surface damage are identified. The surface morphology of the inner wall of the tube was obtained by the phase correlation method, and the damaged part of the inner wall of the tube was identified by the image threshold segmentation algorithm, which provided a visual reference for the evaluation of the inner wall of the tube.