Using Hampel Identifier to Eliminate Profile-Isolated Outliers in Laser Vision Measurement
Joint Authors
Tian, Yaqin
Huang, Qingxue
Xie, Jiaquan
Yao, Zhibin
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In this paper, the profile of the bar is detected by laser vision technology.
During the detection process, obvious isolated outliers can be observed in the profile data; dimension parameter and profile-fitting accuracy are seriously affected by these outliers.
In order to eliminate these outliers and improve the measurement accuracy, this paper uses Hampel identifier and moving mean identifier to identify isolated outliers.
At the same time, the profile data is fitted, and the fitting results and fitting accuracy were analyzed and compared between the original data and the renovated data.
The experiment proves that the outliers in the data must be identified and processed in the data measurement process.
The Hampel identifier has better recognition effect, its algorithm is simple, efficient, and robust, and it can play an important role in the preprocessing of profile data based on structured light.
American Psychological Association (APA)
Yao, Zhibin& Xie, Jiaquan& Tian, Yaqin& Huang, Qingxue. 2019. Using Hampel Identifier to Eliminate Profile-Isolated Outliers in Laser Vision Measurement. Journal of Sensors،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1187493
Modern Language Association (MLA)
Yao, Zhibin…[et al.]. Using Hampel Identifier to Eliminate Profile-Isolated Outliers in Laser Vision Measurement. Journal of Sensors No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1187493
American Medical Association (AMA)
Yao, Zhibin& Xie, Jiaquan& Tian, Yaqin& Huang, Qingxue. Using Hampel Identifier to Eliminate Profile-Isolated Outliers in Laser Vision Measurement. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1187493
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187493