Contextual classification of cracks

摘要

We describe a technique for improving the classification of fragmented cues for cracks. Evidence propagation on Bayesian networks represents search within the context of each cue. The algorithm was applied to a data-set of cracks, and results demonstrate that contextual classification of the cues leads to significantly improved error rates.