Abstract
Image registration is the technique of aligning multiple images that are captured from diverse sources, dissimilar viewpoints, or different times. In general, the image registration algorithms construct a complete image by mapping the source images on the target image by rotation or translation. This mapping is executed by finding the relative transformation. There are several steps to obtain the desired goal. One of the most important steps is feature matching, as based on the obtained result of matched features, the relative transformation is found. In this paper, a comparison among multiple feature matching algorithms has been presented to provide a better understanding of the image registration technique. Additionally, the outcomes after applying those algorithms onto the images have also been presented to show which of them perform better in given circumstances. This can be useful in various fields of computer vision such as remote sensing, automatic target recognition, and medical imaging.
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Roy, B., Oishe, G. (2021). Image Registration with a Comparative Feature Matching Approach. In: Balas, V.E., Hassanien, A.E., Chakrabarti, S., Mandal, L. (eds) Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing. Lecture Notes on Data Engineering and Communications Technologies, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-33-4968-1_25
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DOI: https://doi.org/10.1007/978-981-33-4968-1_25
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