Pellet size detection system based on improved watershed algorithm

With the intelligent development of ironmaking technology, pellet size detection has gradually manifested intelligence. Aiming at the problem of on-line detection of pellet size, the pellet size detection results are obtained by CCD image acquisition, image Gabor filtering, image enhancement and improved adaptive watershed algorithm, and compared with the traditional watershed algorithm. The results show that the improved watershed algorithm proposed in this paper has better effectiveness and can accurately detect the pellet size, which is of great significance to ensure the stability of the blast furnace smelting process and improve the smelting efficiency.