文章摘要
于惠钧,吴婉,成运.改进 Otsu 算法在铝塑泡罩药品包装缺陷检测中的应用[J].包装工程,2014,35(15):15-18.
YU Hui-jun,WU Wan,CHENG Yun.Application of Improved Otsu Algorithm in the Defect Detection of Aluminium-plastic Blister Drugs[J].Packaging Engineering,2014,35(15):15-18.
改进 Otsu 算法在铝塑泡罩药品包装缺陷检测中的应用
Application of Improved Otsu Algorithm in the Defect Detection of Aluminium-plastic Blister Drugs
投稿时间:2014-04-22  修订日期:2014-08-01
DOI:
中文关键词: 图像分割  Otsu法  缺陷检测
英文关键词: image segmentation  Otsu method  defect detection
基金项目:湖南省科学计划项目(2012FJ4265)
作者单位
于惠钧 湖南工业大学 株洲 412008 
吴婉 湖南工业大学 株洲 412008 
成运 湖南人文科技学院 娄底 417000 
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中文摘要:
      目的 为了满足药品缺陷检测系统的具体要求, 需要有更好的图像分割效果。 方法 在二维Otsu法的基础上, 提出 新的阈值分割输出函数, 并改进传统算法, 使运算量大幅度降低。 结果 理论分析和仿真实验结果表明, 该方法更能顾及药品图像边缘细节, 具有好的分割效果, 且分割速度也能满足实时检测要求。 结论 该改进算法用于铝塑泡罩药品包装缺陷检测更具有适用性和实时性。
英文摘要:
      Objective In order to meet the specific requirements of drug defect detection system, there is a need to have a better image segmentation result. Methods On the basis of two-dimensional Otsu method, a new threshold segmentation output function was proposed by improving the traditional algorithm, which significantly lowered the computational complexity. Results Theoretical analysis and simulation results showed that this new method could cover the drug image edge details, had improved segmentation accuracy, and the speed of segmentation met the requirement of real-time detection. Conclusion The improved algorithm has applicability and real-time performance in defect detection of aluminium-plastic drug packaging.
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