| 基于知识引导的机器视觉SMT贴片检测窗口优化 |
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| 引用本文： | 阳孝鑫,罗兵. 基于知识引导的机器视觉SMT贴片检测窗口优化[J]. 五邑大学学报(自然科学版), 2012, 26(3): 74-78 |
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| 作者姓名： | 阳孝鑫 罗兵 |
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| 作者单位： | 五邑大学信息工程学院,广东江门,529020 |
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| 基金项目： | 广东省大学生创新实验项目，江门市科技计划项目( |
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| 摘 要： | 结合S形聚类方法和蚁群算法的优势,将先验知识和反馈信息用于引导机器视觉的随机搜索,以找到最佳检测窗口位置,从而减少检测窗口数量、提高机器视觉在线检测效率.以电路板元器件贴片（SMT）为检测对象进行实验,结果显示：在使用阵列相机的机器视觉SMT检测中,该方案可以有效减少检测窗口的数量.
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| 关 键 词： | 机器视觉 知识引导 随机搜索 表面贴装技术 |
SMT Assembly Machine Vision Inspection Windows Optimization Based on Knowledge Inductive Search |
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| YANG Xiao-xin,LUO Bing. SMT Assembly Machine Vision Inspection Windows Optimization Based on Knowledge Inductive Search[J]. Journal of Wuyi University(Natural Science Edition), 2012, 26(3): 74-78 |
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| Authors: | YANG Xiao-xin LUO Bing |
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| Affiliation: | (School of Information Engineering,Wuyi University,Jiangmen 529020,China) |
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| Abstract: | Combined with advantages of S-shaped cluster algorithm and ant colony algorithm,prior knowledge and feedback information are used for inducting SMT machine vision windows optimization random search that find best windows position to reduce inspecting windows number to improve online inspection efficiency.Experimental results and applied in SMT machine vision inspection with area array camera showed that this approach could reduce inspecting windows numbers effectively. |
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| Keywords: | machine vision knowledge inductive random search surface mounted technology |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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