Research on method of acquiring high quality coal gangue images under multi-factor illumination condition

Aiming at the problem of poor imaging quality of coal and gangue surface features and low identification rate of coal and gangue caused by insufficient illumination conditions in the process of online coal separation,a new high-quality coal gangue image acquisition that integrates multiple factors such as light source distribution, color temperature, and light intensity is proposed. First of all, in view of the uneven illumination caused by the complexity of the illumination conditions in the actual washing process of coal gangue, the influence of different incident angles on the uniformity of illumination is studied based on the nine-point sampling method, and the best incident angle suitable for coal flow is determined. Then, in view of the problem of coal gangue image distortion caused by different color temperatures caused by different color reproducibility, indicators such as MSE, PSNR, and SSIM are used to quantitatively analyze the image distortion of multi-sample single type coal gangue, and the TOPSI