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机构地区:[1]上海理工大学,上海200093
出 处:《包装工程》2014年第13期116-122,132,共8页Packaging Engineering
基 金:2012国家重大科学仪器设备开发专项资助项目(No.2011YQ150040);上海市研究生创新基金(JWCXSL1302)
摘 要:目的针对数粒机高速、高精度的控制要求,利用TMS320F2812型DSP与线阵CCD、ARM9微型控制器及其他硬件设备相结合,设计基于图像处理的数粒机控制系统。方法首先介绍了数粒机的机械结构和工作原理,然后对药粒CCD检测计数系统进行了全面设计,最后采用基于小波变换的图像边缘检测算法对药粒的形状和尺寸进行检测,设计了基于DSP和小波变换的药粒图像边缘检测系统,以判断是否有药粒通过检测通道。结果该控制系统运行稳定,可以用于直径在0.32 mm以上各种规格、形状的颗粒状药品的检测计数,工作速度达3000-8000粒/分钟。结论基于小波变换的图像边缘检测算法避免了噪声和伪边缘的出现,实现了数粒机的精确计数,计数精度达到99.99%,受粉尘影响小,在实际生产中取得了明显的应用成效。Objective In order to meet the control requirements of high speed and precision for counting-machine, a control system for counting-machine based on image processing was designed by using TMS320F2812 DSP combined with linear array CCD, ARM9 microcontroller and supporting hardware. Methods Firstly, the mechanical structure and working principle of counting-machine were discussed. Then the comprehensive design process of the pill CCD detector counting system was given. Finally, using edge detection algorithm based on wavelet transform to detect shape and size of pill,the image edge detection system based on DSP and wavelet transform was designed to determine whether there was pill passing detection channel. Results The control system was stable. It could be used for the detection count of pills with various specifications and shapes given that the diameter was larger than 0.32 mm, and the working speed reached up to 3000-8000tablets / min. The edge detection algorithm based on wavelet transform could avoid the appearance of noise and false edges and achieve accurate counting of the counting-machine. The accuracy was 99.99%, hardly affected by small dusts, and it has achieved significant application results in the actual production.
关 键 词:数粒机 DSP CCD 小波变换 边缘检测 控制系统
分 类 号:TP2[自动化与计算机技术—检测技术与自动化装置]
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