• DocumentCode
    2427254
  • Title

    Anisotropic Diffusion and Segmentation of Colored Flowers

  • Author

    Chatterjee, Shoma

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Jaypee Inst. of Inf. Technol. Univ., Noida
  • fYear
    2008
  • fDate
    16-19 Dec. 2008
  • Firstpage
    599
  • Lastpage
    605
  • Abstract
    This paper presents a new anisotropic diffusion method for multi-valued images. The colored flowers are segmented from the background. In my diffusion technique the edge stopping function is computed as inversely proportional to the weighted sum of gradients of color components. The value of edge stopping function tends to zero as the weighted sum of three color gradients becomes large. The other algorithm further explores an existing diffusion technique based on structure tensors. The multivalued image diffuses using a system of coupled differential equations in the direction of minimal change. The paper presents the results of anisotropic diffusion and segmentation of colored flowers. The new method can also be applied for anisotropic diffusion of other multivalued images.
  • Keywords
    differential equations; edge detection; image colour analysis; image segmentation; anisotropic diffusion; anisotropic segmentation; colored flowers; differential equations; edge stopping function; multivalued images; Anisotropic magnetoresistance; Color; Computer science; Differential equations; Image edge detection; Image segmentation; Information technology; Robustness; Smoothing methods; Tensile stress; Anisotropic Diffusion; Color; Edge Detection; Segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, Graphics & Image Processing, 2008. ICVGIP '08. Sixth Indian Conference on
  • Conference_Location
    Bhubaneswar
  • Print_ISBN
    978-0-7695-3476-3
  • Electronic_ISBN
    978-0-7695-3476-3
  • Type

    conf

  • DOI
    10.1109/ICVGIP.2008.37
  • Filename
    4756124