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1、 M9 _/cciiiiiiiiiiiiiii 收稿日期: 20091014 作者简介: 61978 32pV=1Z_j$_a#1b 薄片零件尺寸机器视觉检测系统中的 线扫描步长自适应优化研究 伍济钢1,2,宾鸿赞2 .湖南科技大学 机械设备健康维护湖南省重点实验室,湖南 湘潭 411201; 2.华中科技大学 机械科学与工程学院,湖北 武汉 430074) K1 借鉴自由曲面逆向工程中扫描步长自适应优化的思想,提出了基于 CAD 信息的线扫描步长自适应优化方法。基于曲线拟合容差开发了圆弧图元线扫描步长自适应优化算法;基于等线段长开发了直线图元线扫描步长自适应优化算法;基于图元间的拓扑结构归纳
2、了区域线扫描步长自适应选取准则。用弹性臂薄片零件的尺寸检测实验对基于 CAD 信息的线扫描步长自适应优化方法的检测精度和扫描数据量进行了分析。实验结果表明,该方法能提高检测系统的检测精度,提高线扫描的扫描效率,减少扫描数据量。 1oM 薄片零件;机器视觉;尺寸检测系统;线扫描步长;自适应优化 ms| TH161 DSM A cI| 1006 0316 (2010) 01 0071 04 Research on line scanning step adaptive optimization in dimensional inspection system of thin sheet part
3、based on machine vision WU Ji-gang1, 2, BIN Hong-zan2( 1.Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China; 2.School of Mechanical Science and Engineering, Huazhong University of Science and Technology,
4、Wuhan 430074, China) Abstract: CAD information-based line scanning step adaptive optimization method is proposed with the help of the thought of scanning step adaptive optimization in the free-form surface reverse engineering. A line scanning step adaptive optimization algorithm of arc primitive is
5、developed by curve fitting allowance. A line scanning step adaptive optimization algorithm of straight line primitive is developed by equal line segment length. A region line scanning step adaptive selection criterion is concluded based on topological structure between primitives. The inspection acc
6、uracy and scanning data amount of the method are analyzed by the dimensional inspection experiments of the thin sheet part of the HGA (Head Gimbal Assembly). The experimental results indicate that the method can improve the accuracy of the inspection system, advance the efficiency of line scanning,
7、decrease scanning data amount. Key words: thin sheet part; machine vision; dimensional inspection system; line scanning step; adaptive optimization ,qjj$_d1aLLH_ddYVLm1pLsOq?m7O1hHWLHihh)HWbe7$WPmaLHavVYVhlL4mHHW7Ovv9FbOPlL4$_,q1o$Lm?LQ$_,q+V7_d_bYVL1aKLNKLLcc_/ M9 $_,qm%B5rob-nL1aS=1wI_1a284ZEiLb1w
8、I_1aZE$L8L=4BCADL1aZEb 1 线扫描步长自适应优化 CAD L1aZEmm 1Ubn5u7!9m DXFq|!9mmj#iimbSLbSL9mELbimLUSLb5L$WP Ef/HwLVLEbyNLmmj+yL1aEbmML1abimUSLbmZ_Z_|!9msubuL1a|5uLbGQ|uLibLL$_,qmiib 1.1 圆弧图元线扫描步长自适应优化 B|wLLGQ?1?KvTNSwL?VwL+9FH19B?9vbS|S l max2.828 / k=1 T Emj kmaxWwLKvwq7 kmaxb 7Su7%9q|iimj#mmL1a LmL1m9SLmLiamUSmLimUSLuL1a|5uLiuLLL|Lmi