CLASSIFICATION OF CORROSION DETERIORATION FORMED ON CARBON STEEL BASED ON IMAGE PROCESSING WITH MACHINE LEARNING

Abstract

This paper aims to assess the steel deterioration through the images, which is the obtained data by the advanced technologies the corrosion tests and image classification by Convolutional Neural Network (CNN) analysis were conducted. From the corrosion tests results, there was a relationship between the exterior appearance and the gained weight of the corroded steel specimens. Therefore, the classification was conducted based on the gained weight of the specimens. CNN analysis was conducted by VGG19 classifier. As the result, to classify the images obtained from other environments by one classifier, the accuracy was low. Therefore, the classification based on images is concluded as difficult for steel corrosion deterioration. Thus, in order to adopt to real bridges, the images used to construct the classifier should be obtained from each bridges for suiting to each environment.