人工智能农产品微生物指标快速检测
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国家自然科学基金资助项目(51105167);地面仿生教育部重点实验室开放基金资助项目(K201207A)


Rapid Detection of Microorganisms Indicators for Agricultural Products
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    摘要:

    为了适应农产品现场对微生物指标快速检测的需求,基于计算机视觉技术和串口通信技术设计了一套智能化程度较高的快速检测系统。该系统能够实现的功能有:系统自动聚焦、自动采集图像、分析和处理图像、输出和打印检测结果等。系统采用基于数字图像处理的自动聚焦新技术,针对农产品中常见的污染微生物染色图像的特点,将调焦过程分为粗调焦和精调焦,以提高自动聚焦效率,经测试系统平均聚焦时间为10.2s。采用该系统对农产品样品进行检测可得到接近于实时的检测结果(检测时间小于1h),而且操作简单、自动化程度高、对检测人员的知识水平要求不高。

    Abstract:

    In order to meet the demand of rapid detection of microorganisms indicators for agricultural products in safety onsite monitoring, an automatic rapid detection system was developed based on computer vision and serial-communication technology. The realized functions of the proposed system included, automatic capture of the images, auto-focus of the system, analysis and processing of images, output the detection results, etc. The system adopted an auto-focus technology based on digital image processing. According to the characteristics of staining images of microorganisms in the agricultural products, rough focusing method combined with accurate focusing method were used to improve the auto-focus efficiency. The average auto-focus time of the system was 10.2s. By using this detection system, the close to real-time detection results could be obtained (detection time was less than 1h). Moreover, the system had advantages of easy operation and high automation.

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丁筠,殷涌光.人工智能农产品微生物指标快速检测[J].农业机械学报,2013,44(Supp1):182-188.

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  • 在线发布日期: 2013-10-22
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