• DocumentCode
    2822887
  • Title

    The application of improved HSV color space model in image processing

  • Author

    Shuhua, Li ; Gaizhi, Guo

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Inner Mongolia Univ., Hohhot, China
  • Volume
    2
  • fYear
    2010
  • fDate
    21-24 May 2010
  • Abstract
    General HSV color space is another expression of RGB color space. As it expresses the perception color contacts clearer than RGB, and the calculation is very simple, it is adopted widely in the image processing. But because of the mathematical definition limitation, it may be inaccuracy to the color classification in some conditions and influences the stability of the algorithm. In this paper, some modification is proposed to the HSV mathematical definition, the instability is eliminated from formula, object tracking algorithm such as MEANSHIFT is tested for this improvement. In the real projects, the improved model should be widely used.
  • Keywords
    image classification; image colour analysis; mathematical analysis; object detection; optical tracking; HSV mathematical definition; MEANSHIFT; RGB color space; color classification; general HSV color space; image processing; improved HSV color space model; mathematical definition limitation; object tracking algorithm; perception color contacts; Application software; Color; Educational institutions; Gaussian distribution; Image processing; Information technology; Object detection; Space technology; Stability; Testing; MEANSHIFT; color space; color space transformation; moving object detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication (ICFCC), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5821-9
  • Type

    conf

  • DOI
    10.1109/ICFCC.2010.5497299
  • Filename
    5497299