Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling

arXiv:2403.13439v1 Announce Type: cross
Abstract: Training defect detection algorithms for visual surface inspection systems requires a large and representative set of training data. Often there is not enough real data available which additionally cannot cover the variety of possible defects. Synthetic data generated by a synthetic visual surface inspection environment can overcome this problem. Therefore, a digital twin of the object is needed, whose micro-scale surface topography is modeled by texture synthesis models. We develop stochastic texture models for sandblasted …

abstract algorithms arxiv cs.ce cs.cv data defect detection defects detection generated geometry real data set stochastic surface synthesis synthetic synthetic data systems texture training training data type visual