Abstract
Complex factors with the electronic noise, X-ray scattering and uneven illumination often disturb the image registration. A new algorithm was proposed in this paper. The improved phase correlation algorithm based on log polar transformation was used to calculate parameters, such as rotation, scaling and translation. Then, the Harris corner matching points were extracted in overlapping positions and purified by the improved Ransac algorithm. Finally, images were processed by NSCT transform algorithm to make the image joint seemed smooth and natural. Experiments confirmed that, the new algorithm is accurate and efficient, and has high robustness to complex environment.
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Acknowledgements
This work is partly supported by the Key Laboratory of Intelligent Industrial Control Technology of Jiangsu Province Research Project(JSKLIIC201705), Xuzhou Science and Technology Plan Projects (KC18011, KC16SH010, KC17078), Major Project of Natural Science Research of the Jiangsu Higher Education Institutions of China (18KJA520012), Ministry of Housing and Urban-Rural Development Science and Technology Planning Project (2016-R2-060).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, D., Chen, L., Tian, J., Jiang, Dh., Sun, Jp., Ding, B. (2019). Image Mosaic Based on Improved Logarithmic Polar Coordinate Transformation and Ransac Algorithm. In: Song, H., Jiang, D. (eds) Simulation Tools and Techniques. SIMUtools 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-32216-8_59
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DOI: https://doi.org/10.1007/978-3-030-32216-8_59
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