• DocumentCode
    2214559
  • Title

    Studies on Color Space Selection and Methods of Segmentation Quality Evaluation

  • Author

    Wang Yuedong ; Xue Heru

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Inner Mongolia Agric. Univ., Huhhot, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    1437
  • Lastpage
    1440
  • Abstract
    The selection of color space is one of the determinants of the image segmentation quality, the segmentation results will be more accurate if the appropriate color space is adopted. In this paper, five kinds of color space RGB, HSI, YIQ, YCbCr, Lab are compared by three types of evaluation methods. The third method of image segmentation quality evaluation is proposed in this paper. The results shows that RGB space for image segmentation is the best choice, and the evaluation results by the method of this paper is consistent with the final experimental results.
  • Keywords
    image colour analysis; image segmentation; HSI space; Lab space; RGB space; YCbCr space; YIQ space; color space selection; image segmentation quality evaluation; Agricultural engineering; Displays; Educational institutions; Extraterrestrial measurements; Humans; Image analysis; Image color analysis; Image segmentation; Information science; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1095
  • Filename
    5454811