ITM Web Conf.
Volume 45, 20222021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
|Number of page(s)||7|
|Section||Computer Technology and System Design|
|Published online||19 May 2022|
Matching of small packages of traditional Chinese medicine based on improved RANSAC algorithm
Nanjing University of Science and Technology, School of Automation, Nanjing, China
* Corresponding author: email@example.com
The vision system model of small package sorting of traditional Chinese medicine was constructed, and the chessboard calibration method was used to calibrate the binocular camera. Surf algorithm and orb algorithm are analyzed by experiments, and orb algorithm with high real-time performance is used to extract feature points. The fast nearest neighbor FLANN algorithm is used to quickly match the feature points, and the matched feature points are screened according to Lowe’s algorithm and v-axis coordinate consistency principle, to solve the problem of false matching points. The method of selecting feature points based on matching quality ranking to calculate the homography matrix is designed, which solves the random sampling problem of the RANSAC algorithm and effectively shortens the time of feature matching.
Key words: Feature matching / RANSAC algorithm / Traditional Chinese medicine
© The Authors, published by EDP Sciences, 2022
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