Abstract
Image registration is a recognized difficulty and many people are working on it to make their algorithms more efficient and robust. In image-guided surgical and interventional procedures, the registration precision and real time effect are both quite important for the following accurate tissue deformation recovery and 3D anatomical registration as well as navigation. This article uses the radon-transform and bidirectional matching approach on SIFT(Scale Invariant Feature Transform) which is aiming at the registration in laparoscopic binocular vision. Finally, we test the new algorithm and give better experiment results by comparing with other common methods.
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Zhou, J., Mao, J., He, X. (2014). An Improved Laparoscopic Image Registration Algorithm Based on Sift. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_19
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DOI: https://doi.org/10.1007/978-3-662-45643-9_19
Publisher Name: Springer, Berlin, Heidelberg
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