TY - JOUR A1 - Chand, Keerthana A1 - Fritsch, Tobias A1 - Oster, Simon A1 - Ulbricht, Alexander A1 - Bruno, Giovanni T1 - Review on image registration methods for the quality control in additive manufacturing N2 - A critical challenge in Additive Manufacturing is to ensure the safety and dimensional accuracy of produced parts. Since quality control is made by means of different online and offline imaging techniques (e.g. Thermography, X-ray and Optical Computer Tomography), image registration plays an important role in addressing these challenges. This paper introduces the main motivation, challenges, and research gaps of image registration in Additive Manufacturing. Furthermore, it introduces the main transformations, registration methods, similarity matrices and accuracy measurement. The main aim of the paper is to present a comprehensive review on the available methods for image registration in Additive Manufacturing based on the measurement techniques. Various registration methods, including landmark-based, point cloud-based, image intensity-based, and shape-based techniques, are examined in their applications for quality control, defect detection, and distortion quantification. KW - Image processing KW - Image fusion KW - Computed tomography KW - Computer-aided design KW - Additive manufacturing PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-624495 DO - https://doi.org/10.1007/s40964-024-00932-2 SN - 2363-9520 SP - 1 EP - 27 PB - Springer Science and Business Media LLC AN - OPUS4-62449 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -