精确自动识别莫尔条纹方向角的算法 -

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精确自动识别莫尔条纹方向角的算法

1.
中国科学院长春光学精密机械与物理研究所,吉林长春 130033;
2.
燕山大学工业计算机控制工程河北省重点实验室,河北秦皇岛 066004

基金项目:

国家自然科学基金资助项目(No.60805045)

详细信息

作者简介:
王明佳(1976-), 男, 吉林市人,副研究员,博士,主要从事图像处理与目标跟踪方面的研究。 E-mail:wmjstar@163.com

中图分类号:TP391.41; O436.1
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- 被引次数:0
出版历程
- 收稿日期:2011-07-11
- 修回日期:2011-08-13
- 刊出日期:2011-10-25

Accurate and automatic recognition of Moiré fringe angle

1.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China;
2.
Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China

摘要

摘要:由于常规莫尔条纹计算方法难以满足速度和精度的要求,本文提出一种快速准确求取莫尔条纹方向角的算法。该算法首先根据直线方向与莫尔条纹方向越接近则均方误差值越小的原理,初步求得莫尔方向角,之后采用Mean-Shift算法在方向角附近进一步精确求取莫尔条纹方向角。实验结果表明:采用误差评判指标测试对比度满足5.4%时,提出的算法所获得的莫尔条纹方向角计算精度达到29,同时计算速度相对频域处理方法大幅提高,计算时间为15 ms,满足算法处理速度对实时性的要求。
- 莫尔条纹/
- 自动识别/
- 均方根误差/
- Mean-Shift算法
Abstract:As traditional methods for calculating Moir fringes can't satisfy the demands of precision and calculating speed, a fast method that can figure out the angle of the Moir fringes accurately is put forward in this paper. According to the principle of the Root Mean Squared Error(RMSE) that the closer a series of data is, the smaller the value of the RMSE will be, the angle of the Moir fringe is come out primarily. Then Mean-Shift algorithm is used to calculate the angle of Moir fringe accurately in the neighborhood of the angle . Experimental result shows that when the contrast level is up to 5.4%, the precision of angle calculation achieves 29according to the evaluation index of angle detection error. The computing speed of the algorithm has been increased largely as compared with those of the traditional methods, and it can achieve 15 ms, and satisfies the demand of real time.
- Moiré fringe/
- automatic recognision/
- Root Mean Squared Error(RMSE)/
- mean-shift algorithm

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参考文献 (1)

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