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A robust approach for road pavement defects detection and classification

... steps. First step is to detect defect position (ROI) then the defect is described by its features. Finally, each defect is classified these different defect features. In our approach the following algorithms have been using: Markov Random Fields and Graph cuts method for image segmentation, Random Forests algorithm for data classification. нет

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


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