Contextual Classification of Cracks
نویسندگان
چکیده
We describe a technique for improving the classification of fragmented cues for cracks. Evidence propagation on Bayesian networks represent 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.
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ورودعنوان ژورنال:
- Image Vision Comput.
دوره 12 شماره
صفحات -
تاریخ انتشار 1993