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26 May 2023 Feature extraction based on improved ORB algorithm
Fengyun Huang, Yulin Zuo, Xiaoxiong Wang
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Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127002F (2023) https://doi.org/10.1117/12.2682276
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China
Abstract
An improved ORB feature point extraction method is proposed for the disadvantages of concentrated extraction, uneven distribution of feature points, slow matching speed and high matching error rate due to the fixed threshold value set by the traditional ORB algorithm in feature point extraction. Firstly, the adaptive threshold is set by automatically calculating the greyscale value around the image block, and the feature points are judged and extracted using this threshold; the traditional ORB algorithm uses the greyscale center of mass method to determine the principal direction, but its accuracy has certain deviations, and the accuracy of calculating the principal direction is improved by Gaussian weighting the pixel greyscale values and then calculating the principal direction by the greyscale center of mass method. The experimental results show that the improved ORB algorithm has a larger number of feature points extracted, a more even distribution and a higher correct matching rate.
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Fengyun Huang, Yulin Zuo, and Xiaoxiong Wang "Feature extraction based on improved ORB algorithm", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127002F (26 May 2023); https://doi.org/10.1117/12.2682276
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KEYWORDS
Feature extraction
Detection and tracking algorithms
Image processing
Light sources and illumination
Visualization
Binary data
Image segmentation
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