• DocumentCode
    3220626
  • Title

    Comparison and analysis for edge detection algorithms based on SQI image enhancement

  • Author

    Guanghui Deng ; Zengli Liu

  • Author_Institution
    Dept. of Commun. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    3615
  • Lastpage
    3617
  • Abstract
    Edge detection is an important role in image processing. The article examines several classical edge detection operator based on SQI image enhancement algorithm, for example, Roberts, Sobel, Prewitt, LOG, Canny. And, it analyses its performance and characteristics, and algorithm simulation by MATLAB. This paper compared with ordinary detection operator literature, after complete the image enhancement, its effect is better with selecting detection operator of image processing, and that will help. On the one hand, the experiment was carried out on the edge detection operator performance, on the other hand, the comparison and analysis to have a need to provide theory according to subjects.
  • Keywords
    edge detection; image enhancement; mathematics computing; Matlab; SQI image enhancement algorithm; edge detection algorithm; edge detection operator; image processing; ordinary detection operator literature; Algorithm design and analysis; Filtering algorithms; Image edge detection; Image enhancement; Lighting; Noise; edge detection; edge detection operator; image enhancement; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162550
  • Filename
    7162550