光反射による錆教習データを用いた機械学習の錆検出性能評価

抄録

In the existing rust detection method using machine learning, training data was constructed by human vision judgment. Therefore, the objectivity of the training data was insufficient, which would reduce the accuracy of the detection result. In this study, more objective rust training data is constructed using the light reflection characteristics of rust and iron plate. The rust detection performance by a typical machine learning method is evaluated using the constructed training data. In addition, rust detection experiments were carried out with proposed method, and its effectiveness was demonstrated.