Simulation of Adaptive Sampling in Profile Measurement for Structured Surfaces

Abstract

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