基于Zynq的皮下指纹OCT数据采集系统设计
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摘要
为了解决传统OCT采集系统体积大、功耗大和扩展性差等问题,提出一种基于Zynq的手指OCT数据采集系统。分析Zynq芯片优点后,选择在Zynq芯片内部的PL部分实现硬件时序的设计和预处理算法,在其PS部分实现网络通信传输,完成数据采集、数据预处理及数据搬运。首先采用AMBA内部总线搭建PS与PL通信桥梁,解决以往FPGA和ARM之间通信存在的接口复杂、协议复杂的问题。然后利用AXI-HP高性能总线将PL部分预处理后的图像数据通过PS-PL交互模块直接传送到DDR3 SDRAM中,解决FPGA内部存储器资源不足的问题。最后使用内存映射机制及TCP/IP协议完成网络通信传输,完成数据搬运。实验结果表明:基于Zynq的手指OCT数据采集系统能有效地将数据发送给计算机上位机进行显示。
In order to solve the problems of traditional identification system such as large volume, high power consumption and poor scalability, this paper presents a Zynq-based finger OCT data acquisition system. We choose to design the hardware timing and data preprocessing in the PL, meanwhile design the network communication in the PS to complete the process of data acquisition, preprocessing and handling. AHB internal bus is used to build PS and PL communication bridges, which solves the problems of complicated interface and complex protocol in the past between FPGA and ARM. By using AXI-HP high performance bus, the image data preprocessed by PL is directly transmitted to DDR3 SDRAM through the PS-PL interaction module to avoid insufficient internal FPGA memory resources. Using memory mapping mechanism and TCP/IP protocol we implement the network communication transmission. The results show that the finger OCT data acquisition system based on Zynq can effectively send data to the principle computer for display.
In order to solve the problems of traditional identification system such as large volume, high power consumption and poor scalability, this paper presents a Zynq-based finger OCT data acquisition system. We choose to design the hardware timing and data preprocessing in the PL, meanwhile design the network communication in the PS to complete the process of data acquisition, preprocessing and handling. AHB internal bus is used to build PS and PL communication bridges, which solves the problems of complicated interface and complex protocol in the past between FPGA and ARM. By using AXI-HP high performance bus, the image data preprocessed by PL is directly transmitted to DDR3 SDRAM through the PS-PL interaction module to avoid insufficient internal FPGA memory resources. Using memory mapping mechanism and TCP/IP protocol we implement the network communication transmission. The results show that the finger OCT data acquisition system based on Zynq can effectively send data to the principle computer for display.
引文
[1] HUANG D,SHURE M.Handbook of optical coherence tomography[J].Ophthalmic surgery lasers & imaging the official journal of the international society for imaging in the eye,2003,34(1):78-79.
[2] YANG C,IZATT J A,SARUNIC M V,et al.Sensitivity advantage of swept source and Fourier domain optical coherence tomography[J].Optics express,2003,11(18):2183-2189.
[3] 秦玉伟.光学相干层析成像技术的发展.应用与研究现状[J].激光杂志,2015(8):1-4.
[4] KHUTLANG R,KHANYILE N P,MAKINANA S,et al.High resolution feature extraction from optical coherence tomography acquired internal fingerprint[C]//Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering,Artificial Intelligence,Networking and Parallel/Distributed Computing.Los Alamitos:IEEE Computer Society Press,2016:637-641.
[5] 许世军,范卉,邢闪闪,等.真皮层参数对OCT中皮肤各层光吸收的影响[J].西安工业大学学报,2017(3):173-178.
[6] KHUTLANG R,NELWAMONDO F V.Novelty detection-based internal fingerprint segmentation in optical coherence tomography images[C]//Proceedings of the 2nd International Symposium on Computing and Networking.Los Alamitos:IEEE Computer Society Press,2014:556-559.
[7] SALOMATINA E ,JIANG B,NOVAK J,et al.Optical properties of normal and cancerous human skin in the visible and near-infrared spectral range[J].Journal of biomedical optics.2006,11(6):64026.
[8] GAO W,WU X.Differences between time domain and Fourier domain optical coherence tomography in imaging tissues[J].Journal of microscopy,2017,268(2):119-128.
[9] 朱晓农,毛幼馨,梁艳梅,等.光学相干层析系统噪音分析(Ⅱ)——时域OCT和频域OCT[J].光子学报,2007,36(3):457-461.
[10] LEITGEB R,HITZENBERGER C K,FERCHER A F.Performance of fourier domain vs time domain optical coherence tomography[J].Optics express,2003,11(8):889-94.
[11] BOER J F D,LEITGEB R,WOJTKOWSKI M.Twenty-five years of optical coherence tomography:the paradigm shift in sensitivity and speed provided by Fourier domain OCT[J].Biomedical optics express,2017,8(7):3248.
[12] 夏建华.谱域光学相干层析的图像重构[J].中国高新区,2017(11):41-42.
[13] 张泰石,李刚,郑羽,等.用线性补偿算法和CCD响应补偿来提高频谱OCT图像质量[J].光学精密工程,2006,14(5):929-933.
[14] 罗义军,罗迪,李劲.一种宽带频谱分析结构优化与FPGA实现[J].浙江工业大学学报,2018,46(1):51-55.
[15] CROCKETT L H,ELLIOT R A,ENDERWITZ M A,et al.The Zynq book:embedded processing with the arm cortex-A9 on the Xilinx Zynq-7000 all programmable Soc[M].London:Strathclyde Academic Media,2014.
[16] 李振宇.基于PL-PS架构的图像处理系统的实现与算法应用[D].济南:山东大学,2016.
[17] 朱健军,倪有粮.基于以太网的多功能一体化数据采集系统[J].浙江工业大学学报,2016,44(1):58-61.
[18] 徐丹阳,童建平,隋成华,等.光栅光谱仪中的高速数据采集系统[J].浙江工业大学学报,2014,42(6):690-693.
[18] 曹桂斌.高速线阵CCD扫描图像采集与存储系统的设计[D].南京:南京理工大学,2013.
[19] 何小雪.线阵CCD在线实时测径系统的研究与设计[D].重庆:重庆大学,2014.
[20] 马飞,刘琦,包斌.基于FPGA的AXI4总线时序设计与实现[J].电子技术应用,2015,41(6):13-15.
[21] 张龙,冯帅.基于Zynq的视频图像处理平台的设计[J].计算机与数字工程,2016,44(12):2519-2523.
[2] YANG C,IZATT J A,SARUNIC M V,et al.Sensitivity advantage of swept source and Fourier domain optical coherence tomography[J].Optics express,2003,11(18):2183-2189.
[3] 秦玉伟.光学相干层析成像技术的发展.应用与研究现状[J].激光杂志,2015(8):1-4.
[4] KHUTLANG R,KHANYILE N P,MAKINANA S,et al.High resolution feature extraction from optical coherence tomography acquired internal fingerprint[C]//Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering,Artificial Intelligence,Networking and Parallel/Distributed Computing.Los Alamitos:IEEE Computer Society Press,2016:637-641.
[5] 许世军,范卉,邢闪闪,等.真皮层参数对OCT中皮肤各层光吸收的影响[J].西安工业大学学报,2017(3):173-178.
[6] KHUTLANG R,NELWAMONDO F V.Novelty detection-based internal fingerprint segmentation in optical coherence tomography images[C]//Proceedings of the 2nd International Symposium on Computing and Networking.Los Alamitos:IEEE Computer Society Press,2014:556-559.
[7] SALOMATINA E ,JIANG B,NOVAK J,et al.Optical properties of normal and cancerous human skin in the visible and near-infrared spectral range[J].Journal of biomedical optics.2006,11(6):64026.
[8] GAO W,WU X.Differences between time domain and Fourier domain optical coherence tomography in imaging tissues[J].Journal of microscopy,2017,268(2):119-128.
[9] 朱晓农,毛幼馨,梁艳梅,等.光学相干层析系统噪音分析(Ⅱ)——时域OCT和频域OCT[J].光子学报,2007,36(3):457-461.
[10] LEITGEB R,HITZENBERGER C K,FERCHER A F.Performance of fourier domain vs time domain optical coherence tomography[J].Optics express,2003,11(8):889-94.
[11] BOER J F D,LEITGEB R,WOJTKOWSKI M.Twenty-five years of optical coherence tomography:the paradigm shift in sensitivity and speed provided by Fourier domain OCT[J].Biomedical optics express,2017,8(7):3248.
[12] 夏建华.谱域光学相干层析的图像重构[J].中国高新区,2017(11):41-42.
[13] 张泰石,李刚,郑羽,等.用线性补偿算法和CCD响应补偿来提高频谱OCT图像质量[J].光学精密工程,2006,14(5):929-933.
[14] 罗义军,罗迪,李劲.一种宽带频谱分析结构优化与FPGA实现[J].浙江工业大学学报,2018,46(1):51-55.
[15] CROCKETT L H,ELLIOT R A,ENDERWITZ M A,et al.The Zynq book:embedded processing with the arm cortex-A9 on the Xilinx Zynq-7000 all programmable Soc[M].London:Strathclyde Academic Media,2014.
[16] 李振宇.基于PL-PS架构的图像处理系统的实现与算法应用[D].济南:山东大学,2016.
[17] 朱健军,倪有粮.基于以太网的多功能一体化数据采集系统[J].浙江工业大学学报,2016,44(1):58-61.
[18] 徐丹阳,童建平,隋成华,等.光栅光谱仪中的高速数据采集系统[J].浙江工业大学学报,2014,42(6):690-693.
[18] 曹桂斌.高速线阵CCD扫描图像采集与存储系统的设计[D].南京:南京理工大学,2013.
[19] 何小雪.线阵CCD在线实时测径系统的研究与设计[D].重庆:重庆大学,2014.
[20] 马飞,刘琦,包斌.基于FPGA的AXI4总线时序设计与实现[J].电子技术应用,2015,41(6):13-15.
[21] 张龙,冯帅.基于Zynq的视频图像处理平台的设计[J].计算机与数字工程,2016,44(12):2519-2523.
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