Restoration and Segmentation of Rail Surface Images
暂无分享,去创建一个
Automated detection and classification of rail surface defects would be of great benefit to railroad companies. However, video images of the rail surface are subject to various forms of distortion. In order to accurately locate and measure defects, the images must be restored to an estimate of their ideal, undistorted form.
[1] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] R M Alefor. ANALYSIS OF AUTOMATICALLY COLLECTED RAIL SURFACE DEFECT DATA FOR RAIL MAINTENANCE MANAGEMENT , 1991 .
[3] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .