激光与光电子学进展, 2021, 58 (8): 0810025, 网络出版: 2021-04-12
基于Pearson相关系数的图像误匹配点剔除算法 下载: 1065次
Algorithm for Eliminating Mismatched Points Based on Pearson Correlation Coefficient
图 & 表
图 1. Pearson相关系数的大小与散点分布规律之间的关系
Fig. 1. Relationship between size of Pearson correlation coefficient and law of scatter distribution
图 3. 同时利用长度和夹角特征检测误匹配点
Fig. 3. Using the length feature and the angle feature together to detect mismatched points
图 8. 对比实验1的结果。(a)所提算法;(b)MSAC算法;(c)PROSAC算法;(d)RANSAC算法
Fig. 8. Results of contrast experiment 1. (a) Proposed algorithm; (b) MSAC algorithm; (c) PROSAC algorithm; (d) RANSAC algorithm
图 9. 对比实验2的结果。(a)所提算法;(b)MSAC算法;(c)PROSAC算法;(d)RANSAC算法
Fig. 9. Results of contrast experiment 2. (a) Proposed algorithm; (b) MSAC algorithm; (c) PROSAC algorithm; (d) RANSAC algorithm
表 1不同算法剔除误匹配点的精度
Table1. Accuracy of different algorithms for eliminating mismatched points
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表 2不同算法剔除误匹配点的速度
Table2. Speed of different algorithms for eliminating mismatched points unit: ms
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李硕, 韩迎东, 王双, 刘琨, 江俊峰, 刘铁根. 基于Pearson相关系数的图像误匹配点剔除算法[J]. 激光与光电子学进展, 2021, 58(8): 0810025. Shuo Li, Yingdong Han, Shuang Wang, Kun Liu, Junfeng Jiang, Tiegen Liu. Algorithm for Eliminating Mismatched Points Based on Pearson Correlation Coefficient[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810025.