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Simulation of Adaptive Sampling in Profile Measurement for Structured Surfaces

By Jian Wang, Xiang Jiang and Liam Blunt

Abstract

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

Topics: T1, TA
Publisher: University of Huddersfield
Year: 2010
OAI identifier: oai:eprints.hud.ac.uk:9314

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Citations

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