Texture Classification for Rail Surface Condition Evaluation.
2016 IEEE Winter Conference on Applications of Computer Vision (WACV)（2016）
Key words
texture classification,rail surface condition evaluation,rail surface defects,train safety,passenger safety,defect severity measurement,image classification,rail surface segmentation module,structured random forests,edge map generation,generalized Hough transform,defect severity classification module,stacked ensemble model,texton forests,texton dictionaries,x2-kernel SVM classifiers,support vector machines,probability estimation,linear-kernel SVM
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