Abstract:Corrosion detection using advanced equipment could be sometimes unavailable in resource-limited settings. To make up for the corrosion testing gap, image capturing and processing with Convolutional Neural Networks (CNN) have gained prominence in corrosion studies. In this study, two CNN models were built and trained using images taken with a mobile phone camera and a digital microscope. The CNN models were built to categorize corroded images into three different classes based on the surface area of the sample … Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.