Besides the ongoing rapid development of processing power of computers new standardised interfaces are emerging. Thus. future measuring software will be able to process information ofthe quality ofa measuring operation. This exceeds the current state-of-the-art. The originality of this research lies with the proposal of a novel method for computing a quality factor for each measuring point. The method is applicable for optical imaging sensors. However. similar regimes may be applied for other types of sensors. This paper presents a general methodology for computing a quality factor for focusing. Thereby different criteria such as unimodality. accuracy, reproducibility. definition range. general applicability and robustness are covered. The application of the proposed quality factor enables a more profound evaluation of a focusing process than the pure specification of the uncertainty of the focus position does. Within a closed quality loop it enables a higher level ofcontrol ofthe measuring process resulting in a significantly decreased measuring uncertainty and an increased robustness. Thereby the closed quality loop comprises the CAD process. inspection planning, measuring operations and the comparison between CAD data and measured geometry. The paper closes with some experimental results showing the soundness ofthe proposed method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.