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Python implementation of distortion correction methods for X-ray tomography

Authors: Nghia T. Vo;

Python implementation of distortion correction methods for X-ray tomography

Abstract

Discorpy is a Python package implementing distortion-correction methods published in Optics Express by N.T Vo et al. It is useful for calibrating an imaging system with sub-pixel accuracy. The techniques require a single image of a calibration target. Discorpy was developed for calibrating lens-coupled detectors of tomography systems but it also can be used for commercial cameras. Since version 1.4, correction of perspective distortion was added to the package.

Keywords

Distortion correction, tomography, imaging, Camera calibration, distortion correction, tomography, radial lens distortion, perspective distortion

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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