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Data-stitching algorithms are widely used to combine multiple sequential data or extend the working area of measurement systems. However, stitched data by the least squares method have inconsistency at the… Click to show full abstract
Data-stitching algorithms are widely used to combine multiple sequential data or extend the working area of measurement systems. However, stitched data by the least squares method have inconsistency at the intersections due to their measurement errors, mainly drift error. We propose a new stitching algorithm, to the best of our knowledge, that considers sequential data as an elastic body. We examine the algorithm with several types of sequential data and confirm mitigating of error of drift.
Keywords:
sequential data;
stitching algorithm;
algorithm based;
based elasticity;
data stitching
Journal Title: Applied optics
Year Published: 2022
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Journal Title: Applied optics
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!