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.
WU De-gang, ZHAO Li-ping.
Circular hole size measurement system based on computer vision. Journal of Applied Optics. 2013, 34(6): 1014-1018
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
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
