Image Segmentation in Loss Detection for Conservation and Restoration of Old Paintings

Abstract

Old paintings are usually characterized by presence of damaged areas. This article presents technologies and methods for detection of the loss on old paintings using image processing, image segmentation techniques, and convolutional neural network for detection of damaged parts on painting. Analysis of model prediction results allows us to estimate the effectiveness of techniques and technologies, applied in this research in automated loss estimation.