Paper
18 April 2006 Quality measures for depth-from-focus approaches
Susanne Töpfer, Uwe Nehse, Gerhard Lin
Author Affiliations +
Proceedings Volume 6180, Photonics, Devices, and Systems III; 61800A (2006) https://doi.org/10.1117/12.675646
Event: Photonics, Devices, and Systems III, 2005, Prague, Czech Republic
Abstract
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 of the quality of a 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 of control of the 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 of the proposed method.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Susanne Töpfer, Uwe Nehse, and Gerhard Lin "Quality measures for depth-from-focus approaches", Proc. SPIE 6180, Photonics, Devices, and Systems III, 61800A (18 April 2006); https://doi.org/10.1117/12.675646
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Quality measurement

Computer aided design

Inspection

Signal to noise ratio

Image quality

Computing systems

Dimensional metrology

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