文章摘要
周志祥,杨旭东,陈波,谢国平.基于模板匹配的条烟识别系统研究[J].包装工程,2020,41(21):261-269.
ZHOU Zhi-xiang,YANG Xu-dong,CHEN Bo,XIE Guo-ping.Cigarette Recognition System Based on Template Matching[J].Packaging Engineering,2020,41(21):261-269.
基于模板匹配的条烟识别系统研究
Cigarette Recognition System Based on Template Matching
投稿时间:2020-05-14  
DOI:10.19554/j.cnki.1001-3563.2020.21.038
中文关键词: 模板匹配  Harris算法  条烟识别  限制波尔兹曼机
英文关键词: template matching  Harris algorithm  cigarette recognition  Restricted Boltzmann Machine
基金项目:贵州省科技厅重大专项(黔科合支撑[2017]2308);贵州省工业和信息化发展专项资金计划(2017039);贵州省教育厅青年科技人才成长项目(黔教合KY字[2016]231)
作者单位
周志祥 贵州大学 机械工程学院贵阳 550025 
杨旭东 贵州大学 机械工程学院贵阳 550025 
陈波 贵州大学 机械工程学院贵阳 550025 
谢国平 贵州大学 机械工程学院贵阳 550025 
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中文摘要:
      目的 针对现今烟草物流配送中心条烟分拣工作量大,条烟分拣系统在分拣中难免会有“多烟”“少烟”“错烟”等情况出现,为解决这一情况,提高分拣效率。方法 设计一种基于模板匹配提取目标条烟图像的条烟识别系统,为了提高图像质量其图像拍摄平台采用半封闭隧道装置,拍摄图像经预处理后,采用扫描模板尺寸确定、被扫描图像的扫描起始点固定、粗匹配再匹配的二次匹配方法来准确完整地提取目标条烟轮廓,而后经Harris角点检测算法提取条烟图像特征并建立数据库,在RBM模型算法的基础上实现条烟识别纠错。结果 经配送中心实验试用后表明,在速度为1.5 m/s的传送带上,该条烟识别系统纠错率为99.9%左右,误报率≤1/30000,系统工作稳定。结论 该条烟纠错系统很好地解决了条烟分拣出错情况,提高了条烟配送效率,满足烟草物流配送中心的纠错要求。
英文摘要:
      The work aims to solve the problems of 'excessive cigarettes', 'lack of cigarettes', 'wrong cigarettes', etc. in the cigarette sorting system due to the large workload of cigarette sorting in tobacco distribution centers, so as to improve the sorting efficiency. A cigarette recognition system based on template matching to extract the target cigarette image was designed. In order to improve the image quality, the image shooting platform adopted a semi-closed tunnel device. After the image was preprocessed, the target cigarette outline was extracted accurately and completely by determining the scanning template size, fixing the starting point of image to be scanned and applying the secondary matching method of coarse matching and rematching. Then, the image features of the cigarette image were extracted through the Harris corner detection algorithm to establish a database to identify and correct errors based on RBM model. The experiment in the distribution center showed that the error correction rate of cigarette recognition system was about 99.9%, with a false alarm rate less than or equal to 1/30 000 on a conveyor belt with a speed of 1.5 m/s, and the system was stable. The cigarette error correction system solves the cigarette sorting errors well, improves the cigarette delivery efficiency, and meets the error correction requirements of the tobacco logistics distribution center.
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