Abstract
This study presents an automated registration method based on optical flow for an adaptive optics scanning laser ophthalmoscope. The method was designed to align and average images to obtain a higher signal-to-noise ratio image. A correlation based optical flow image registration method, which has large registration degrees of freedom, is adopted as a local registration method. By comparing the images before and after image registration, we show the effectiveness of our method. Furthermore, the advantage of our method, which is the containment of large registration degrees of freedom, is confirmed.
Highlights
Adaptive optics was originally invented to improve the imaging quality of astronomical telescopes by correcting optical aberrations induced by the atmosphere in real time [1]
This study presents an automated registration method based on optical flow for an adaptive optics scanning laser ophthalmoscope
We demonstrated an optical flow based image registration method aimed at aligning adaptive optics scanning laser ophthalmoscope (AO-SLO) images with complex distortions by using large registration degrees of freedom
Summary
Adaptive optics was originally invented to improve the imaging quality of astronomical telescopes by correcting optical aberrations induced by the atmosphere in real time [1]. In addition to astronomical telescope imaging, adaptive optics was well-suited for ophthalmologic imaging to correct optical aberrations of eye. Additional hardware can effectively deal with eye motion, it increases the expense and complexity of the system. Another solution is to use image processing algorithms to calculate and compensate for relative eye motion between AO-SLO images [20]–[25]. More sophisticated image registration techniques are needed to remove image distortions and motion artifacts [20]. More and more registration degrees of freedom are needed to correct complicated motion artifacts and improve registration accuracy
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