Radiographic Geometric Calibration Using Component Reference Regions
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Solution Overview
Problem
Existing methods for geometric calibration in radiographic measurements, particularly in robotic and C-arm computed tomography, are time-consuming, complex, and require significant computing power, with inaccuracies due to systematic and random deviations in apparatus positioning and object movement, and online calibrations lack precision.
Innovation Solution
A computer-implemented method that identifies and utilizes reference regions within the digital component representation to determine geometric parameters, reducing complexity and computing power by calibrating without a dedicated standard, using iterative techniques to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If offline calibration with a dedicated standard is performed, then measurement precision is improved, but loss of time increases due to repeated calibration requirements
Solution Approach 1:
The measurement object itself serves as the calibration standard. The method identifies reference regions within the component being measured and uses their known or determinable geometries to perform geometric calibration, eliminating the need for separate calibration standards and reducing calibration time while maintaining accuracy
Solution Approach 2:
The measurement object fulfills dual functions: it is both the subject of measurement and the reference standard for calibration. By utilizing reference regions within the component, the system performs both measurement and calibration functions simultaneously, reducing the need for separate calibration procedures
2Loss of time
If online calibration without a dedicated standard is performed, then loss of time is reduced, but measurement precision deteriorates due to lack of accurate reference
Solution Approach 1:
The component's own reference regions provide the necessary calibration reference, enabling online calibration without external standards. This self-referential approach maintains precision by using the measurement object itself as the truth reference, eliminating the time loss associated with offline calibration while preserving accuracy
Solution Approach 2:
Reference regions within the component act as intermediaries between the measurement system and the calibration process. These regions provide stable, identifiable geometric features that mediate the calibration calculation, enabling accurate online calibration without dedicated external standards
3Device complexity
If conventional online calibration methods are used, then computational complexity is reduced, but measurement precision deteriorates due to inability to correct deviations accurately
Solution Approach 1:
The calibration process is segmented into identifying specific reference regions within the component and performing calibration calculations based solely on those regions. This segmentation reduces computational complexity by focusing only on relevant geometric features while maintaining precision through targeted analysis of reference region deviations
Solution Approach 2:
The method applies local quality by performing calibration analysis specifically on reference regions rather than the entire component. This localized approach reduces computational complexity by processing only necessary data while maintaining or improving precision through focused deviation correction in critical reference areas
Data Source
AI summary
The invention relates to a computer-implemented method for determining at least one geometric parameter required for an evaluation of measurement data, wherein the measurement data are determined by means of a radiographic measurement of a component having a component geometry, wherein a digital component representation is generated by the measurement data, wherein the method comprises the following steps: determining the measurement data by means of a radiographic measurement of a component; identifying regions one of in the digital component representation or in the component geometry as reference regions; determining at least one geometric parameter required for an evaluation of the determined measurement data, by means of the reference regions. Less computing power than in the prior art is required with the method. Furthermore, the method is able to be employed without great complexity.