基于机器视觉的圆孔尺寸测量系统研究

吴德刚;赵利平

应用光学 ›› 2013, Vol. 34 ›› Issue (6) : 1014-1018.

应用光学 ›› 2013, Vol. 34 ›› Issue (6) : 1014-1018.

基于机器视觉的圆孔尺寸测量系统研究

  • 吴德刚,赵利平
作者信息 +

Circular hole size measurement system based on computer vision

  • WU De-gang,ZHAO Li-ping
Author information +
文章历史 +

摘要

针对常见的圆形目标检测,开发了一套基于机器视觉技术的圆孔尺寸测量系统,采用混合噪声滤波、模糊和遗传边缘检测方法从采集的零部件图像中,提取出圆孔图像的边缘,通过插值圆度检测方法,精确测量出圆孔的半径、面积等特征参数。测试表明,测量系统的平均值误差为0.010 5 mm,远远低于人工测量的平均值误差0.027 3 mm,能够满足工业应用中的精确性要求。

Abstract

For detecting the common circle objects, a circular hole size detecting system based on computer vision was developed. Using mixed noise filtering,fuzzy and genetic algorithm, the edge of circular hole image was extracted from the collected parts image. The radius and area of circular hole were measured accurately by interpolation method for roundness measurement. The testing results show that the average error of the system is 0,010 5 mm. It is far less than 0,0273 mm, which is the average error of manual measurement system. It can meet the precise requirement in industrial applications.

关键词

混合噪声滤波 / 模糊遗传边缘检测 / 圆孔尺寸 / 插值圆度检测 / 机器视觉

Key words

fuzzy and genetic edge detection / computer vision / mixed noise filtering / circular hole size / interpolation method for roundness measurement

引用本文

导出引用
吴德刚, 赵利平. 基于机器视觉的圆孔尺寸测量系统研究. 应用光学. 2013, 34(6): 1014-1018
WU De-gang, ZHAO Li-ping. Circular hole size measurement system based on computer vision. Journal of Applied Optics. 2013, 34(6): 1014-1018

参考文献

[1]吴德刚.图像测量技术在工业零件几何尺寸参数测量中的应用研究[D].郑州:郑州大学,2011.
WU De-gang. The study for geometric parameter measurement of industrial parts based on image measurement technology[D].Zhengzhou: Zhengzhou University,2011. (in Chinese)
[2]吴德刚,赵利平.模糊和遗传算法在路况检测中的应用研究[J].应用光学,2012,33(6):1077-1081.
WU De-gang, ZHAO Li-ping. Research on fuzzy and genetic algorithm and its application in field of road detection[J]. Journal of  Applied Optics, 2012,33(6):1077-1081. (in Chinese with an English abstract)
[3]杜广朝,魏雪峰,邵明省. 基于像素基因编码算法的图像显著区域检测研究[J].激光与红外,2013,43(6):818-821.
    DU Guang-chao, WEI Xue-feng,SHAO Ming-xing. Image salient region detection based on genetic pixel algorithm[J]. Laser & Infrared,2013,43(6):818-821. (in Chinese with an Eng

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