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A robust approach for road pavement defects detection and classification

Nguyen T.H., Nguyen T.L., Sidorov D.N. A robust approach for road pavement defects detection and classification // Journal of Computational and Engineering Mathematics. Vol.3. No.3. 2016. P.40-52. DOI: 10.14529/jcem160305. The objective of this paper is to propose a robust approach to building a computer vision system to detect and classify pavement defects based on features, such as the contour of feature (chain code histogram, Hu-moment), the shape of an object (length, width, area). In this paper...

Теги: feature extraction , defect pavement , defects detection , markov random fields , graph cut , random forests , computer vision
Раздел: ИСЭМ СО РАН


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