• DocumentCode
    2482778
  • Title

    A New Level Set Method of Image Segmentation Using Structure Tensor

  • Author

    Zhang Wei ; Zhang Jian ; Cao Shengjun ; Wan Li

  • Author_Institution
    Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new level set method of image segmentation is proposed in this paper, which utilizes structure tensor information. Based on analyzing the classic Region-Scalable Fitting (RSF) model in detail, a structure tensor drawing upon gray information is added to RSF model in order to overcome the weakness that RSF model cannot deal with texture segmentation. Experimental results show that the new model can obtain better segmentation effects for texture segmentation and improve the segmentation accuracy.
  • Keywords
    image segmentation; image texture; tensors; RSF model; Region-Scalable Fitting model; gray information; image segmentation; level set method; structure tensor information; texture segmentation; Active contours; Deformable models; Image segmentation; Image texture analysis; Information analysis; Intelligent structures; Level set; Machine intelligence; Solid modeling; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473482
  • Filename
    5473482
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2482778