Scratch detection of archival films: modeling and trajectory calculation

Abstract

Scratches are a common continuous structural type of damage in archival films. Scratch pixel level segmentation algorithms still use general image segmentation, and with poor the detection. Based on the characteristics of scratches, a scratch model based on a Gaussian probability density function is proposed, a local adaptive one-dimensional Gaussian weighted segmentation algorithm is designed, and an invalid region filtering mechanism is described. Based on experimental results, the local one-dimensional Gaussian weighted segmentation algorithm proposed in this paper can preserve the integrity and continuity of scratches, and effectively suppresses edge defects; the invalid region filtering mechanism can effectively reduce the false detection of scratches. Adding a scratch trajectory can effectively reduce the chances of missing the detection of scratches, and the stability of the traditional algorithm using Kalman filters to predict the scratch trajectory is poor. According to the similarity of multiple scratch trajectories, a calculation method of trajectories based on U-net is described. Experimental results show that this method can calculate the scratch trajectory stably and effectively.