Determining the Composition of a Mixed Material with Synthetic Data

Abstract Determining the composition of a mixed material is an open problem that has attracted interest researchers in many fields. In our recent work, we proposed novel approach to determine using convolutional neural networks (CNNs). machine learning, model “learns” specific task for which it designed through data. Hence, obtaining dataset materials required develop CNNs estimating composition. However, method instead creates synthetic data generated from only images pure present those mixtures. Thus, eliminates prohibitive cost and tedious process collecting materials. The motivation this study provide mathematical details addition extensive experiments analyses. We examine on two datasets demonstrate ease extending any perform can accurately presence materials, sufficiently estimate precise material. Moreover, analyses strengthen validation benefits approach.