Abstract
Under the background of telemedicine, a new registration and mosaic algorithm for medical images is proposed in this paper to solve the problems of electronic noise, uneven illumination and ray scattering in the real-time medical process. The improved Retinex algorithm by trilateral filter and homomorphic filtering algorithm can enhance the image effectively in preprocessing. The improved phase correlation algorithm based on log polar transformation was used to calculate parameters, such as rotation, scaling and translation. Then, the SUSAN corner matching points were extracted in overlapping positions, the improved KD tree was used for enhancing matching efficiency. Later, matching points were purified by the improved RANSAC algorithm. Finally, images were processed by Laplacian pyramid decomposition algorithm to make the image joint seemed smooth and natural. The results of experiments and evaluation criteria confirm that the new method has high robustness in the process of medical image registration and stitching in the network.
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Acknowledgements
This work is partly supported by the Natural Science Foundation of Jiangsu Province of China (No. BK20161165), the Key Laboratory of Intelligent Industrial Control Technology of Jiangsu Province Research Project (Grant No. JSKLIIC201705), Xuzhou Science and Technology Plan Projects (Grant No. KC18011), Xuzhou University of Technology Research Projects (Grant No. XKY2016222). Jiangsu Province Construction System Science and Technology Project (Grant No. 2018ZD077).
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Li, D., Chen, L., Bao, W. et al. An improved image registration and fusion algorithm. Wireless Netw 27, 3597–3611 (2021). https://doi.org/10.1007/s11276-019-02232-y
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DOI: https://doi.org/10.1007/s11276-019-02232-y