原子炉内環境モデリングにおける画像ノイズが特徴点マッチングにおよぼす影響

抄録

This paper introduces an image quality assessment on a 3D modeling to grasp the internal state of the nuclear reactor for the decommissioning of the Fukushima Daiichi Nuclear Power Station. We tried a quantitative evaluation of videos or images acquired by the investigation inside the primary containment vessels for an efficient 3D reconstruction and investigated the effects of image correction on feature extraction and matching using the images added noise. As a result, we confirmed that the number of corresponding points by feature matching between images improves with an increase in a score of image quality assessment.