Simulation of Adaptive Sampling in Profile Measurement for Structured Surfaces

Adaptive sampling is a novel sampling design that can redirect sampling effort during a survey in \nresponse to the observed values. Its application on surface texture measurement is new, such as \nworking with stylus profilometers. As a start, this paper focuses on a classical one-dimensional \nadaptive sampling in surface texture measurement for structured surfaces. The sampling simulations \nshow that both the reconstruction accuracy and repeatability have a significant improvement \ncompared to the uniform sampling – the most prevalent strategy at present.