Abstract
This paper describes new registration approach for registration of low SNR retinal image sequences. We combine two approaches - Fourier-based method for large shift correction and Lucas-Kanade tracking for small shift and rotation correction. We also propose method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels. We achieved precision of registration below 2.1 pixels, which is acceptable with regards to image SNR (around 10dB). The final averaging of registered sequence leads to improvement of image quality and improvement in SNR over 10 dB. © 2014 Springer International Publishing.
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CITATION STYLE
Kolar, R., Hoeher, B., Odstrcilik, J., Schmauss, B., & Jan, J. (2014). Registration of image sequences from experimental low-cost fundus camera. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8545 LNCS, pp. 174–183). Springer Verlag. https://doi.org/10.1007/978-3-319-08554-8_18
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