An automatic evaluation method for retinal image registration based on similar vessel structure matching
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11517-019-02080-0.pdf
Reference19 articles.
1. Chen J, Jian J, Lee N, Zhang J, Smith RT (2010) A partial intensity invariant feature descriptor for multimodal retinal image registration. IEEE Trans Biomed Eng 57(7):1707–1718. https://doi.org/10.1109/TBME.2010.2042169
2. Lowe DG (2004) Distinctive image features from scale-invariant keypoints. Int J Comp Vis 60(2):91–110. https://doi.org/10.1023/B:VISI.0000029664.99615.94
3. Legg PA, Rosin PL, Marshall D, Morgan JE (2015) Feature neighbourhood mutual information for multi-modal image registration: an application to eye fundus imaging. Pattern Recongn 48(6):1937–1946. https://doi.org/10.1016/j.patcog.2014.12.014
4. Zitova B, Flusser J (2003) Image registration methods: a survey. Image Vision Comput 21(11):977–1000. https://doi.org/10.1016/S0262-8856(03)00137-9
5. Gavet Y, Fernandes M, Pinoli JC (2012) Quantitative evaluation of image registration techniques in the case of retinal images. J Electron Imaging 21(2):021118-1–021118-7. https://doi.org/10.1117/1.JEI.21.2.021118
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