• DocumentCode
    2783429
  • Title

    Detecting Preserved Eggshell Crack Using Machine Vision

  • Author

    Fang, Wang ; Youxian, Wen

  • Author_Institution
    Sci. Coll., Huazhong Agric. Univ., Wuhan, China
  • Volume
    3
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    62
  • Lastpage
    65
  • Abstract
    As preserved egg is becoming an important branch of egg processing industry, how to detect the crack on preserved eggshell through a fast and nondestructive method is an important segment of improving the quality of the preserved egg. This paper analyzed the different kinds of image processing methods based on the machine vision technology. It was concluded that the morphological image processing method was better to detect cracks on preserved eggshell. according to the characteristic values of parameters, this paper established a model of detecting preserved eggshell crack, and this detection rate was 88% for the cracked eggshells and about 87% for the intact eggshells.
  • Keywords
    computer vision; crack detection; farming; food products; detection rate; egg processing industry; intact eggshell; machine vision technology; morphological image processing method; nondestructive method; preserved eggshell crack detection; Acoustics; Filtering; Image edge detection; Image segmentation; Surface cracks; Surface morphology; eggshell crack; machine vision; preserved egg;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.391
  • Filename
    6113585