• DocumentCode
    638421
  • Title

    An image reconstruction algorithm based on SVM and FPGA implementation

  • Author

    Yan Li ; Jieqiong Zheng ; Guohua Zhu ; Xue Liu ; Haoxin Cui ; Yongbin Du

  • Author_Institution
    Comput. & Control Inst., Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    2
  • fYear
    2013
  • fDate
    June 28 2013-July 1 2013
  • Firstpage
    56
  • Lastpage
    59
  • Abstract
    Support Vector Machine (SVM) has slow training speed to deal with large amount of data in ECT system. In view of these shortcomings, an improved serial calculation-parallel transmission mode that based on SVM which is adapted to realize on hardware is proposed, and the mode on FPGA is realized using hardware description language. The work process of system and overall structure are presented. The ECT image reconstruction experimental results show that the hardware implementation of the algorithm reduces the running time efficiently, meanwhile not decreasing the classification accuracy. In the aspect of speed, it is more quickly using FPGA to realize the algorithm than using soft-ware, meanwhile FPGA can meet the request of real time and is fit for the system of image reconstruction.
  • Keywords
    field programmable gate arrays; hardware description languages; image reconstruction; support vector machines; ECT image reconstruction; ECT system; FPGA implementation; SVM; hardware description language; image reconstruction algorithm; serial calculation-parallel transmission mode; support vector machine; Accuracy; Field programmable gate arrays; MATLAB; Neural networks; Semiconductor device measurement; Support vector machines; Time factors; Electrical capacitance tomography; FPGA; Support Vector Machine; image reconstruction; time-critical;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2013 8th International Forum on
  • Conference_Location
    Ulaanbaatar
  • Print_ISBN
    978-1-4799-0931-5
  • Type

    conf

  • DOI
    10.1109/IFOST.2013.6616859
  • Filename
    6616859