• DocumentCode
    3563622
  • Title

    Color segmentation through independent anisotropic diffusion of complex chromaticity and lightness

  • Author

    Lucchese, Luca ; Mitra, Sanjit K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    746
  • Abstract
    This paper presents a nets technique based on anisotropic diffusion for segmenting color images. This operation is accomplished through two independent anisotropic diffusion processes: one involving only the chromatic information, conveniently embedded in a complex function, and the other affecting the lightness information. The results of the two diffusions are separately segmented and their combination allows the color image to be eventually partitioned. We report on some experimental results verifying the effectiveness of such a technique
  • Keywords
    image colour analysis; image representation; image segmentation; pattern clustering; quantisation (signal); anisotropic diffusion; chromatic information; clustering; color image segmentation; color representation; complex chromaticity; complex function; independent anisotropic diffusion; independent anisotropic diffusion processes; lightness information; quantization; Anisotropic magnetoresistance; Clustering algorithms; Color; Filtering; Image processing; Image segmentation; Noise reduction; Smoothing methods; Solids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.959153
  • Filename
    959153