黄晓辉,徐炜祯,冯立国,许 东.手机拍照图像快速实现菌落计数[J].食品安全质量检测学报,2020,11(2):468-471 |
手机拍照图像快速实现菌落计数 |
Research on quickly realizing colony counting with mobile phone photo images |
投稿时间:2019-09-10 修订日期:2020-01-04 |
DOI: |
中文关键词: 菌落数量 图像处理 ImageJ软件 食品安全 |
英文关键词:number of colonies picture processing ImageJ software food safety |
基金项目:国家重点研发计划项目(2018YFC1604001)、国家自然科学基金项目(21505162、31571874)、湖南省自然科学基金项目(2016JJ3183) |
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中文摘要: |
目的 建立利用手机拍照, ImageJ软件自动实现菌落计数的方法。方法 以大肠杆菌为测试菌, 按照GB 4789.2—2016《食品安全国家标准 食品微生物学检验 菌落总数测定》方法, 获得菌落平板, 手机拍照后, 用ImageJ软件计数。并以井水、酒店预制菜、麻辣鱼仔熟食为样本比较了人工计数与ImageJ软件计数的差异性。结果 Image软件能对拍照后的菌落平板快速计数; 人工计数和ImageJ软件计数结果无显著差异。结论 本方法可重复性高, 耗时短, 克服了人工计数的缺点, 保证检测溯源可查, 有希望成为未来食品安全大数据体系数据采集端口。 |
英文摘要: |
Objective To establish a method for taking pictures by mobile phone and to realize colony counting automatically by using ImageJ software. Methods Escherichia coli was used as the test bacteria, according to GB 4789.2 -2016 National food safety standard-Food microbiology inspection-Determination of total colony count, colonies were obtained on the tablet and photographed on the phone, then were counted by ImageJ software. The differences between manual counting and ImageJ software counting were compared using well water, hotel prepared dishes, and spicy fish cooked food as samples. Results Image software could quickly count colony plates after taking pictures. There was no significant difference between the results of manual counting and ImageJ software (P>0.05). Conclusion The method has high repeatability and short time consumption, overcomes the shortcomings of manual counting. Ir ensures the traceability of the detection source, and is expected to become a data collection port for the future food safety big data system. |
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