便携式菌落智能计数系统的设计和实现

发布时间：2019-05-17 19:00

【摘要】：菌落检测是农业、食品、医药卫生等行业进行质量检测的重要方法之一。依靠肉眼观察的人工检测方法速度慢、结果重复性差,而且工作繁重乏味,工作效率低。目前,市场上虽然出现了菌落自动计数仪,但大都以PC机作为运算平台,便携性差,难以满足实时检测要求。近年来嵌入式技术飞速发展,嵌入式设备在运算速度和存储容量上都有了长足的进步,嵌入式操作系统的发展也日趋成熟。由于嵌入式设备本身具有便携性好、成本低的特点,使嵌入式技术得到了更为广泛的应用。针对菌落检测对实时性和便携性的要求,本研究结合嵌入式技术,设计了基于ARM平台的嵌入式菌落智能计数系统,并完成了原型样机的开发。系统以S3C6410作为核心处理器,采用广角红外CCD摄像头作为视频采集设备。为了提高嵌入式菌落智能计数系统的整体运行效率,我们对系统使用的Windows CE 6.0内核进行了裁剪和定制;为了达到最好的检测效果,本设计对样机结构和照明系统进行了精心设计。菌落自动计数算法是整个系统性能优劣的关键。我们使用OPENCV计算机视觉库开发了菌落智能计数算法,研究了一种基于霍夫变换的培养皿边缘提取算法,取得了良好的效果。粘连菌落的分割是菌落自动计数算法的难点,本文提出了一种基于迭代腐蚀算法的菌落计数算法,并通过多次条件膨胀的方法消除了传统迭代腐蚀算法对较大菌落的“过分割”问题,使平均计数偏差控制在6%以内,取得了很好的效果。最后,本文完成了算法的移植和PC演示版软件的开发,并最终实现了便携式菌落智能计数系统的开发和测试工作; 总之,本研究对菌落自动计数算法进行了有意义的探索和尝试,并在此基础上开发了嵌入式样机系统,研究成果具有一定的理论意义和应用价值。
[Abstract]:Colony detection is one of the important methods for quality testing in agriculture, food, medicine and hygiene. The manual detection method based on naked eye observation has the advantages of slow speed, poor repeatability, tedious work and low work efficiency. At present, although colony automatic counter appears in the market, most of them use PC as the operation platform, and the portability is poor, so it is difficult to meet the requirements of real-time detection. With the rapid development of embedded technology in recent years, embedded devices have made great progress in computing speed and storage capacity, and the development of embedded operating system is becoming more and more mature. Because the embedded device itself has the characteristics of good portability and low cost, embedded technology has been more widely used. In order to meet the requirements of real-time and portability of colony detection, an embedded colony intelligent counting system based on ARM platform is designed based on embedded technology, and the prototype is developed. The system uses S3C6410 as the core processor and wide-angle infrared CCD camera as the video capture equipment. In order to improve the overall operation efficiency of the embedded colony intelligent counting system, we cut and customize the Windows CE 6.0 kernel used in the system. In order to achieve the best detection effect, the prototype structure and lighting system are carefully designed. Colony automatic counting algorithm is the key to the performance of the whole system. An intelligent colony counting algorithm is developed by using OPENCV computer visual library, and a petri dish edge extraction algorithm based on Hoff transform is studied, and good results are obtained. The segmentation of adhesive colonies is a difficult point in colony automatic counting algorithm. In this paper, a colony counting algorithm based on iterative corrosion algorithm is proposed. Through the method of multiple conditional expansion, the problem of "over-segmentation" of large colonies by traditional iterative corrosion algorithm is eliminated, and the average counting deviation is controlled within 6%, and good results are obtained. Finally, this paper completes the transplantation of the algorithm and the development of PC demonstration software, and finally realizes the development and testing of portable colony intelligent counting system. In a word, this study has carried on the meaningful exploration and the attempt to the colony automatic counting algorithm, and has developed the embedded prototype system on this basis, the research result has certain theoretical significance and the application value.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：R318.6

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