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作 者:王伟刚 周强[1] 肖强宏 王孟效 WANG Wei-gang;ZHOU Qiang;XIAO Qiang-hong;WANG Meng-xiao(College of Electrical & Information Engineering,Shaanxi University of Science and Technology,Xi an,Shaanxi Province,710021;Shaanxi CIWE Process Automation Engineering Co.,Ltd.,Xianyang,Shaanxi Province,712081)
机构地区:[1]陕西科技大学电气与信息工程学院,陕西西安710021 [2]陕西西微测控工程有限公司,陕西咸阳712081
出 处:《中国造纸学报》2018年第4期36-43,共8页Transactions of China Pulp and Paper
基 金:陕西省教育厅专项科技项目(16JK1105);陕西省科技攻关项目(2016GY-005);咸阳市科技计划项目(2017K02-06)
摘 要:为了解决纸张缺陷检测中多个纸病区域的提取实时性问题,提出了一种采用"先分块、后合并"思想直接对实时图像数据流进行处理的并行化纸病提取算法。该算法充分利用现场可编程门阵列(FPGA)的并行处理特性,在跨时钟域对图像数据进行传输的同时,在另一个分支流程中并行地对分块缺陷连通域进行标记以获取每个缺陷的相对位置坐标,最后以包围盒的形式提取出纸张缺陷区域。该算法基于分块思想,分支处理过程不需要消耗主流程额外的处理时间且硬件资源占用率极小。实验结果表明,该算法能够准确、快速地提取出各种常见纸张缺陷,具有很强的灵活性和实时性,能够满足在线纸病检测的实时性要求。In order to solve the problem of real-time extraction of multiple paper defect areas in paper defect detection,a parallel paper defect extraction algorithm based on the concept of"first block,post-merge"was proposed to directly process real-time image data stream.This algorithm made full use of the parallel processing characteristics of FPGA.While translating image data between asynchronous clock domains,it simultaneously labeled the block defects connected components in another branch process to obtain the relative position coordinates of each block defects.Finally,the paper defect area was extracted in the form of a bounding box.The algorithm was based on the blocking idea,and the branch processing process did not consume additional processing time for the main flow,and the hardware resource occupancy rate was minimal.The experimental results showed that the algorithm could extract various common paper defects accurately and quickly,and had strong flexibility and real-time performance.It could meet the real-time requirements of online paper defect detection.
分 类 号:TS736[轻工技术与工程—制浆造纸工程]
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