基于有机磷农药残留检测的遗传模拟退火算法研究
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摘要
基于乙酰胆碱酯酶检测卡与有机磷农药的显色反应,搭建了一套快速获取反应后图像的机器视觉系统,完成了图像的去噪、边缘提取等处理过程,准确提取出检测卡的RGB数值。基于RGB彩色模型,实现了遗传模拟退火算法建立农药残留检测卡R、B颜色特征与农残浓度之间的非线性映射关系。实验证明遗传模拟退火算法对农药残留检测的标定均方根误差小,确定系数高,拟合优势大。
Based on the color reaction of acetylcholinesterase detection card and organophosphorus pesticide,a set of machine vision system for quickly obtaining post-reaction images was constructed. The process of image denoising and edge extraction was completed,and the RGB of the detection card was accurately extracted. Based on the RGB color model,the genetic simulated annealing algorithm was used to establish a nonlinear mapping relationship between the color characteristics of pesticide residue detection cards R and B and the concentration of pesticide residues. The experiment proves that the genetic simulated annealing algorithm has small rms error in calibration of pesticide residue detection,high determination coefficient and large fitting advantage.
Based on the color reaction of acetylcholinesterase detection card and organophosphorus pesticide,a set of machine vision system for quickly obtaining post-reaction images was constructed. The process of image denoising and edge extraction was completed,and the RGB of the detection card was accurately extracted. Based on the RGB color model,the genetic simulated annealing algorithm was used to establish a nonlinear mapping relationship between the color characteristics of pesticide residue detection cards R and B and the concentration of pesticide residues. The experiment proves that the genetic simulated annealing algorithm has small rms error in calibration of pesticide residue detection,high determination coefficient and large fitting advantage.
引文
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[3]孙永生.基于机器视觉的β类药物残留检测系统的研究与应用[D].杭州:中国计量学院,2013.
[4]邱朝坤,刘晓宇,任红敏,等.酶抑制法检测蔬菜中有机磷农药残留[J].食品与机械,2010,26(2):40-42,71.
[5]吴丽,郭康权.便携式有机磷农药残留检测仪的设计[J].农机化研究,2010,32(5):133-135.
[6]王璞.RGB颜色传感器叶绿素仪的研究[D].天津:天津大学,2008.
[7]ZHANG P X,LI F.A new adaptive weighted mean filter for removing saltand-pepper noise[J].IEEE Signal Processing Letters,2014,21(10):1280-1283.
[8]段瑞玲,李庆祥,李玉和.图像边缘检测方法研究综述[J].光学技术,2005(3):415-419.
[9]BAO P,ZHANG L,WU X L.Canny edge detection enhancement by scale multiplication[J].IEEE Transactions on Pattern Analysis&Machine Intelligence,2005,27(9):1485-1490.
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