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Recent advances in technology have brought major breakthroughs in deep learning techniques. In this work, the author will elaborate on such techniques for output data of image processing performed on craquelure patterns in historical paintings. Historical painted objects, especially panel paintings, with their long environmental history, exhibit complex crack patterns called craquelures. These are cracks in paintings that can be referred to as 'edge fractures' since they are formed from thedoi:10.11588/artdok.00007516 fatcat:5rqg7wkzqjfjzjnsgxlpnb2nwu