• DocumentCode
    2157295
  • Title

    Improved segmentation algorithm of pixel texture used in complex image

  • Author

    Hong, Zhu ; Guoying, Zhang

  • Author_Institution
    Dept of Computer Science and Technology, China University of Mining & Technology, Beijing, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    6666
  • Lastpage
    6669
  • Abstract
    When Image feature extracted from the sub-block in image is used in object segmentation, it can cause object boundary inaccurate. Texture feature extracting algorithm based on every pixel is purposed in the paper. After the pixel texture feature is standardized and reduced dimension by PCA, it is clustered by hierarchical method. Improved segmentation algorithm segments the complex image into different objects. Compared with the traditional methods such as threshold method, Sobel method and so on, the segmentation boundary is accurate, and the phenomenon of under-segmentation and over-segmentation also reduce significantly.
  • Keywords
    Clustering algorithms; Computer science; Computers; Feature extraction; Image segmentation; Object segmentation; Pixel; cluster; co-occurrence matrix; exture feature; image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691615
  • Filename
    5691615