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摘要在基于机器视觉系统的瓶装药液检测技术中,药液中杂质颗粒的光辐射场分布直接影响其在药液图像中的信息强度,从而影响系统对杂质颗粒的检出率。为了提高药液检测系统的检出率,该文根据折射定律等光学定律,首先采用光线积分法分析得到了杂质颗粒的光辐射场分布规律,然后将光辐射场分解为两个基本场的叠加,运用基本场对应的矩阵的叠加矩阵的均方差度量来进行光辐射场的优化。实验结果表明: 根据该优化方法搭建的药液检测系统与传统的检测系统相比,光辐射场分布更加均匀,颗粒检出率提高了26%。
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| 关键词 ：光辐射场,折射定律,光线积分法,机器视觉,均方差度量 |
Abstract：Machine vision systems are used to analyze bottled liquid medicines. The systems detect light reflected from impurity particles in the liquid with the detection ability directly affecting the system impurity detection rate. The system is optimized here to improve the system liquid detection rate. The regularity of the optical field distribution is obtained using the light integral method and the refraction law. Then, the light distribution is decomposed into a superposition of two basic fields with the distribution optimized using the mean square error of the superposition matrix of the matrixes for the two fields. Tests show that this optimization method effectively optimizes the light distribution and improves the impurity detection rate by 26%.
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| Key words：optical fieldrefraction lawlight integral methodmachine visionmean square error |
| 收稿日期: 2013-03-23 出版日期: 2015-03-17 |
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),杨春毓,柳建楠
