• DocumentCode
    2450807
  • Title

    A new texture image segmentation algorithm

  • Author

    Liu Ren-jin ; Fu Mao-sheng ; Fang Jie

  • Author_Institution
    Dept. of Comput. Sci. & Technol., West Anhui Univ., China
  • fYear
    2010
  • fDate
    24-27 Aug. 2010
  • Firstpage
    574
  • Lastpage
    577
  • Abstract
    The relations between synthesis technology and image fusion are generalized, and some key questions are analyzed when using quotient space granularity synthesis in image segmentation. Furthermore the granularity synthesis method of quotient space is applied to analyze and processing of texture images and a new image segmentation algorithm of image segmentation is given. Firstly texture features of coarseness and directionality are extracted to form the different granularity spaces respectively. Then the quotient space synthesis method is adopted to segment the texture image. Experimental results demonstrate that the algorithm of granularity synthesis is useful and valid.
  • Keywords
    feature extraction; image fusion; image segmentation; image texture; image fusion; quotient space granularity synthesis; synthesis technology; texture feature extraction; texture image segmentation; Algorithm design and analysis; Feature extraction; Image fusion; Image segmentation; Pixel; Space technology; Topology; granularity synthesis; quotient space; texture images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Education (ICCSE), 2010 5th International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4244-6002-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2010.5593547
  • Filename
    5593547