• DocumentCode
    713078
  • Title

    Optimized approach of sobel edge detection technique using Xilinx system generator

  • Author

    Mohapatra, Sumant Kumar ; Swain, Biswa Ranjan ; Mahapatra, Sushil Kumar

  • Author_Institution
    Dept. of Electron. & Telecommun., Trident Acad. of Technol., Bhubaneswar, India
  • fYear
    2015
  • fDate
    26-27 Feb. 2015
  • Firstpage
    338
  • Lastpage
    341
  • Abstract
    In this paper a new method is utilized in which sobel X-Y edge detection combines with Gaussian filter using histogram stretching method. In recent days, the edge detection techniques come to the picture with a very important utilization in medical industry to detect tumors and fractures in the human body[1],[2],[3]. So In this paper we firstly propose a new optimized edge detection technique which is a better edge detection technique so far in our knowledge in terms of improved mean square error(MSE) and picture signal to noise ratio (PSNR) using very limited resources used in the SPARTAN 3A DSP 3400A development platform FPGA kit.
  • Keywords
    digital signal processing chips; edge detection; field programmable gate arrays; mean square error methods; medical image processing; tumours; Gaussian filter; MSE; PSNR; SPARTAN 3A DSP 3400A development platform FPGA kit; Xilinx system generator; fractures; histogram stretching method; human body; mean square error; medical industry; optimized approach; picture signal to noise ratio; sobel X-Y edge detection; sobel edge detection technique; tumors; Communications technology; Digital signal processing; Field programmable gate arrays; Generators; Hardware; Image edge detection; Mathematical model; Edge Detection; Optimised sobel operator; SPARTAN 3A DSP 3400A FPGA Kit; White Gaussian noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-7224-1
  • Type

    conf

  • DOI
    10.1109/ECS.2015.7124919
  • Filename
    7124919