摘要
针对纸病检测系统普遍存在的快速性与实时性均较差问题,借鉴人眼视觉中“选择性注意”机制,提出了采用“选择性缓存处理”方法快速提取与检测纸病。系统采用“CCD+FPGA”的模式,利用FPGA流水线并行处理特性对线阵CCD采集到的图像数据流进行预处理与特征提取,并同时缓存纸病区域图像。由于整个处理过程为流水线式并行处理,且仅缓存纸病区域图像,因此极大地提高了纸病提取检测的速度并节约大量的存储空间。结果表明,该方法硬件资源占用率极小,且能快速、准确地提取纸病信息,具有很强的灵活性与实时性,可以满足高速纸机实时检测的需求。
Aiming at the lack of rapidity and real-time in the paper defect detection system,referring to the"selective attention"mechanism in human vision,a"selective buffer processing"method was proposed for the rapid extraction and detection of paper defect.The system ad⁃opted the hardware mode of"CCD+FPGA"and utilized the parallel processing characteristics of FPGA pipeline to preprocess and extract the image data stream collected by linear array CCD,and cache the paper defect area images at the same time.Because the entire processing pro⁃cess was pipelined and parallel processing,and only the paper defect area images were cached,the speed of paper defect extraction and de⁃tection was greatly improved and a large amount of storage space was saved.The experimental results showed that this method had a very small hardware resource occupancy rate and could quickly and accurately extract paper defect information.It had strong flexibility and realtime performance and could meet the requirements of high-speed paper machine with real-time detection.
作者
赵睿轩
周强
王思琦
ZHAO Ruixuan;ZHOU Qiang;WANG Siqi(College of Electrical&Control Engineering,Shaanxi University of Science and Technology,Xi'an,Shaanxi Province,710021)
出处
《中国造纸学报》
CAS
CSCD
北大核心
2021年第1期63-70,共8页
Transactions of China Pulp and Paper
基金
陕西省科技计划项目(2019GY-090)
咸阳市科技计划项目(2017K02-06)。
关键词
纸病检测
FPGA
选择性缓存处理机制
流水线处理
paper defect detection
FPGA
selective cache processing mechanism
pipeline processing
作者简介
赵睿轩,男,1996年生,在读硕士研究生:主要研究方向:硬件图像处理。E-mail:709679542@163.com。
