汤 伟,王先通,王 锋,王孟效,邱锦强.基于FPGA和CCD相机的纸病检测系统的设计与实现[J].中国造纸学报,2016,31(1):57-62 本文二维码信息
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基于FPGA和CCD相机的纸病检测系统的设计与实现
Design and Implementation of Web Inspection System Based on FPGA and CCD Camera
  
DOI:10.11981/j.issn.1000-6842.2016.01.57
中文关键词:  FPGA  纸病检测  Sobel边缘检测  Open CV  分型盒维数
Key Words:FPGA  web inspection  Sobel edge detection  Open CV  fractal box dimension
基金项目:陕西省重点科技创新团队计划项目(2014KCT-15)。
作者单位
汤 伟1 1.陕西科技大学电气与信息工程学院,陕西西安,710021 
王先通1,* 1.陕西科技大学电气与信息工程学院,陕西西安,710021 
王 锋2 2.浙江力诺流体控制科技股份有限公司,浙江瑞安,325200 
王孟效3 3.陕西西微测控工程有限公司,陕西咸阳,712081 
邱锦强1 1.陕西科技大学电气与信息工程学院,陕西西安,710021 
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中文摘要:
      针对高速纸机纸病检测时,图像数据处理量大和实时性的要求,文中采用FPGA(Field Programmable Gate Array)和线阵CCD(Charge-coupled Device)相机技术,介绍了一种高速纸病检测系统的设计。利用FPGA并行性和高速运算能力的特点,控制线阵CCD实现高速下图像采集和进行纸病图像预处理,抓取出纸病图像并上传到上位机,然后利用灰度阈值分割和二值图像分型盒维数的方法确定纸病类型。结果表明,该设计有效提高了纸病检测速度,降低了成本。
Abstract:
      Web inspection of high speed paper machine requires processing a large amount of image data and real-time reacting. Based on the technology of FPGA (Field Programmable Gate Array) and CCD (Charge-coupled Device) linear array camera, this paper introduced a high speed web inspection system. Taking advantage of parallelism and high speed calculating capability of FPGA, it was easy to control linear array CCD achieving high-speed image acquisition, pre-processing paper defects image and extracting the images and upload to the host computer. Then the method of gray threshold segmentation and two value image fractal box dimension were used to identify the type of paper defects. Experimental results showed that this design was able to effectively improve the detection speed and reduce the cost.
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