期刊
JOURNAL OF SENSORS
卷 2019, 期 -, 页码 -出版社
HINDAWI LTD
DOI: 10.1155/2019/3823691
关键词
-
资金
- Excellent Innovation Project for Graduate Students of Shanxi Province [20143021]
- Fund for Shanxi 1331 Project Key Subjects Construction
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.
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