Faisan S, Lara D, Paterson C
LSIIT UMR-CNRS-UDS 7005, Pôle API, Bd Sébastien Brant, 67400 Illkirch, France.
Opt Express. 2011 Feb 28;19(5):4157-69. doi: 10.1364/OE.19.004157.
We present a new, robust and automated method for registering sequences of images acquired from scanning ophthalmoscopes. The method uses a multi-scale B-spline representation of the deformation field to map images to each other and an hierarchical optimization method. We applied the method to video sequences acquired from different parts of the retina. In all cases, the registration was successful, even in the presence of large distortions from microsaccades, and the resulting deformation fields describe the fixational motion of the eye. The registration reveals examples of dynamic photoreceptor behaviour in the sequences.
我们提出了一种全新、稳健且自动化的方法,用于对从扫描检眼镜获取的图像序列进行配准。该方法使用变形场的多尺度B样条表示将图像相互映射,并采用分层优化方法。我们将该方法应用于从视网膜不同部位获取的视频序列。在所有情况下,配准均成功,即使存在微扫视引起的大变形,并且所得的变形场描述了眼睛的注视运动。配准揭示了序列中动态光感受器行为的实例。