Abstract
Ambient illumination is an important factor affecting the high mismatching rate of single threshold image matching algorithm. Therefore, this paper proposes a local dynamic threshold extraction algorithm. This algorithm needs to perform light homogenization processing in the image preprocessing stage and calculate the appropriate threshold of each pixel for feature point judgment during feature extraction, which can effectively alleviate the problem of missing extraction and multiple extraction during feature extraction of a single threshold.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Qingjiang, Y., Chuang, S. (2020). Image Matching Algorithm Based on Improved ORB Feature Extraction. In: Jiang, X., Li, P. (eds) Green Energy and Networking. GreeNets 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-62483-5_21
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DOI: https://doi.org/10.1007/978-3-030-62483-5_21
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