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Discorpy：用于相机校准和校正的算法与软件。

Discorpy: algorithms and software for camera calibration and correction.

作者信息

Vo Nghia T

机构信息

National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY 11973, USA.

出版信息

J Synchrotron Radiat. 2025 May 1;32(Pt 3):718-730. doi: 10.1107/S1600577525002267. Epub 2025 Apr 9.

DOI:10.1107/S1600577525002267
PMID:40202913
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12067330/
Abstract

Camera or lens-based detector calibration is essential for spatial accuracy in applications like dimensional tomography, optical metrology, and computer vision. Many methods and software exist yet there is still a lack of approaches that achieve both high accuracy and robustness while being easy to use and capable of handling a wide range of distortions. Radial lens distortion is common in high-resolution X-ray detector optics used in parallel-beam tomography at synchrotrons. Achieving sub-pixel accuracy requires calibrating with an optical target image. Although methods for characterizing radial distortion are well established, acquired images often also include perspective distortion and optical center offset. Here, we present our approaches to individually characterize and correct both types of distortion using a single calibration image, implemented in the Discorpy software.

摘要

基于相机或镜头的探测器校准对于尺寸断层扫描、光学计量和计算机视觉等应用中的空间精度至关重要。虽然存在许多方法和软件，但仍缺乏既具有高精度和鲁棒性，又易于使用且能够处理各种畸变的方法。径向镜头畸变在同步加速器平行束断层扫描中使用的高分辨率X射线探测器光学系统中很常见。要实现亚像素精度，需要使用光学目标图像进行校准。虽然表征径向畸变的方法已经很成熟，但采集到的图像通常还包括透视畸变和光学中心偏移。在这里，我们展示了我们使用单个校准图像分别表征和校正这两种畸变的方法，该方法在Discorpy软件中实现。

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