疫苗毒株胚蛋成活性检测方法研究

发布时间：2018-04-05 15:02

  本文选题：疫苗毒株　切入点：成活性检测　出处：《农业机械学报》2017年10期

【摘要】：针对人工光照法在生物疫苗毒株(胚蛋)成活性检测中,存在劳动强度大、效率低、准确性差的缺点,提出了一种仿生胚蛋成活性图像无损检测方法。针对以往研究中胚蛋图像上下灰度不一、胚蛋蛋壳质量不一等因素影响胚蛋血脉提取的问题,提出了一种基于最小类内指数方差的自适应阈值图像处理方法。通过对去噪后的胚蛋图像进行图像边缘检测及数学形态学处理,准确构建了成活胚蛋主血脉二值形态,通过计算胚蛋内主血脉二值面积百分比判定胚蛋成活性。对胚蛋图像进行识别实验,结果表明,该系统识别一枚胚蛋用时0.093 s,胚蛋活性判定准确率为100%,可满足灭活疫苗、冻干疫苗生产的活性准确率要求。
[Abstract]:The artificial illumination method in biological vaccine strain (Pei Dan) assay of activity, there are high labor intensity, low efficiency, poor accuracy, this paper presents a novel bionic embryo into active image lossless detection method. According to the previous research on gray image of eggs, egg shell quality and embryo factors affecting embryo egg blood extraction problem, we propose an adaptive threshold image processing method based on minimum class variance index. Based on the embryo egg image after denoising for image edge detection and mathematical morphology processing, accurate reconstruction of the survival embryo blood two value morphology, by calculating the embryo blood in two the value of the area percentage of eggs to determine activity. Experiments, the results showed that the embryo egg image recognition system, a 0.093 s embryo egg, embryo egg activity to determine the accuracy of 100%, which can meet the inactivated vaccine, freeze dried vaccine The accuracy of production is required.

【作者单位】： 中国石油大学(华东)机电工程学院;滨州学院电气工程学院;
【基金】：国家自然科学基金项目(51405512) 山东省重点研发计划项目(2016GNC112015)
【分类号】：TP391.41;TQ460.7
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本文编号：1715261