棒材在线自动计数系统的设计与实现  

Design and Realization of Bar Online Automatic Counting System

作　　者：黄海龙[1] 张亮[1] 

机构地区：[1]辽宁工业大学机械工程与自动化学院,辽宁锦州121001

出　　处：《机械设计与制造》2015年第6期176-179,共4页Machinery Design & Manufacture

基　　金：辽宁省教育厅一般项目(L2013247);辽宁工业大学校基金资助(X201201)

摘　　要：棒材计数问题是棒材生产企业提高自动化水平的重要瓶颈之一,研发准确率高、实时性好的棒材在线自动计数系统意义重大。在实验室环境中设计了一种棒材在线自动计数系统,系统包括硬件部分和软件部分:硬件部分以Dalsa公司的Spyder3线阵CCD相机为核心,实现在线棒材图像的采集、传输和存储;软件部分使用C++语言,结合Quick Cam和Sapera Processing实现棒材图像的预处理和Blob分析。在预处理过程中,引入了数学形态学运算,有效地剔除伪目标,为Bolb分析奠定了的基础,在出现多根棒材交叉、粘连、重叠的情况下保证计数的准确性。实验结果表明,该系统能够实时采集在线棒材图像,准确统计在线棒材个数。The question of bar counting is one of the important bottlenecks for improving automation level for bar producing enterprises, so the development of high-accuracy, real-timely bar online automatic counting system is extremely urgent. A novel bar online automatic counting system is designed and realized in our laboratory, and the system includes both hardware and software. Online bar image is captured, transmitted and stored by hardware with Spyder3 line CCD camera of Dalsa as major component; online bar image is pre-processed and Blob-analyzed using C ＋＋ language by software combined with QuickCam and Sapera Processing. Mathematical morphology is introduced to remove false objects during the course of pre- procession,which establishes good foundation for Blob analysis and insures accuracy of counting. Experimental results show the system can acquire online bar image quickl3,, calculate the number of bar exactly.

关 键 词：棒材计数 线阵CCD相机 BLOB分析 数学形态学 

分 类 号：TH16[机械工程—机械制造及自动化] TP274[自动化与计算机技术—检测技术与自动化装置]