正交设计方法在优化空瓶检测图像处理参数中应用

介绍空瓶检测的图像处理关键技术,对酒瓶破损模式、空瓶检测方法的特点进行分析.以瓶身检测为例,用三水平三因素的正交设计对空瓶检测的图像处理参数,即Sobel、Prewitt、Roberts等边缘检测算子、处理步长以及决策算法等进行组合优化设计.通过对试验结果和极差值的分析,得出了各参数对空瓶检测精度和实时性影响的主次因素,为优化参数、平衡空瓶检测的准确率与工作时间提供了依据.在与论文实验条件相类似的情况下,推荐采用Prewitt、处理步长为1、加权求和决策算法的算法组合.本方法可推广到不同检测系统要求下所确定的最优参数组合中.

Application of orthogonal design in optimizing parameters for the image processing of empty bottle detection system

The paper simply introduces the key technology,beer bottle fault modes and the characteristics of bottle detection system based on image processing methods.According to the layout of 3 levels with 3 factors(3~3),3 different parameters are examined such as Sobel,Prewitt and Roberts for the imaging processing methods,by optimizing parameter combinations of steps,decision-making algorithms and edge detection techniques.An analysis of the margin of experimental data,shows that the relative importance of different parameters affecting the accuracy and real-time properties of the system.The orthogonal experiment provides a good idea for optimizing parameters and adjusting the equilibrium constant between accuracy and real-time properties.Under the similar experiment conditions as described in this paper,the optimized parameter combination for the imaging processing methods is recommended,that is one element for one step,weighting addition for decision-making algorithm and Prewitt for edge detection technique.This method can also be generalized to optimize parameters for the requirements of different inspect systems.