The proportion of materials used in concrete composition has great importance in order to build a structure and public security, since materials have influence on concrete properties, in fresh and hardened states. The identification of concrete traces is usually carried by human experts with high levels of experience, but their results are influenced by physical and subjective factors. This paper presents a proposal based on pattern recognition to identify different concrete traces through out images and their texture features. The achieved results demonstrated the possibility of identifying concrete traces through application of pattern recognition techniques to images. The best achieved rate was 87.1% of accuracy using the SURF descriptor.
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.