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。
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.
出处
《中国造纸学报》
CAS
CSCD
北大核心
2016年第1期57-62,共6页
Transactions of China Pulp and Paper
基金
陕西省重点科技创新团队计划项目(2014KCT-15)
