• DocumentCode
    2736673
  • Title

    Automatic image edge extraction and segmentation by random seed region search algorithm

  • Author

    Wenhua, Ji ; Huiming, Yu ; Yuanyuan, Liu

  • Author_Institution
    Dept. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    1095
  • Abstract
    This paper proposes a new automatic image edge extraction and segmentation method. Firstly, We extract the image´s edge automatically by random seed regions search algorithm. Obviously, we can choose the initial seed randomly and automatically. Moreover, we can adjust segmentation threshold automatically depending on contrast of image. Then, we conclude that our algorithm is effective comparing with the other´s popular image edge extraction and segmentation methods.
  • Keywords
    edge detection; feature extraction; image segmentation; search problems; automatic image edge extraction; image contrast; image segmentation method; random seed region search algorithm; segmentation threshold adjustment; Algorithm design and analysis; Data mining; Digital images; Image edge detection; Image segmentation; Information science; Performance analysis; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1281060
  • Filename
    1281060