期刊论文

中文

自动化仪表

1000-0380

2018

39

12

9-12,17

10.16086/j.cnki.issn1000-0380.2018050025

本校为第一机构

针对现阶段酶标(ELISA)板培养孔菌体生长情况的筛选判断检测方法存在效率低、自动化程度低等问题,提出了采用机器视觉算法对酶标板培养孔菌液颜色识别的菌体生长检测方法。对酶标板孔菌体在不同生长时期、菌液浑浊度不同产生的颜色差异进行调查研究,在OpenCV平台对摄像头采集的酶标板图片信息进行预处理和边缘检测,寻找酶标板的最小包围矩形确定目标区域,选取培养孔孔位区域进行颜色计算获取判断依据。考虑到摄像头在垂直方向拍摄时酶标板四周的孔位区域会发生变形,提出了在不同孔位区域选取合适区域计算颜色特征的试验方案,可有效减小培养孔颜色特征提取的误差,为实现在微生物培养中完成菌体的...

Aiming at the problems of low efficiency and low degree of automation in the screening and judging method of the growth of the microbial cells in the current stage of the enzyme linked immunosorbent assay(ELISA)plate,a method for detecting the growth of the cells by using the machine vision algorithm for the color identification of the cultured cells is proposed.The color difference caused by the difference of the turbidity of the bacteria in the different stages of the growth of the cells is investigated,the image information of the microplate collected from the camera is used for pre-process...