• DocumentCode
    3567558
  • Title

    Characterization and Numerical Evaluation of a Color Image Segmentation Method

  • Author

    Alvarado-Cervantes, Rodolfo ; Felipe-Riveron, Edgardo M. ; Khartchenko, Vladislav

  • Author_Institution
    Fac. de Estudios Super. Cuautitlan, Univ. Nac. Autonoma de Mexico, Cuautitlan, Mexico
  • fYear
    2014
  • Firstpage
    52
  • Lastpage
    56
  • Abstract
    We present a characterization and a numerical evaluation of an own semi-automatic color image segmentation method using generated synthetic images with its associated ground truth. The evaluation methodology was designed to assess the efficiency of the resulting color information achieved from color segmentation algorithms. By the use of ROC curves and its analysis, we obtained some particular characteristics of our segmentation method, such as the level of sensibility related to the threshold selection and to the appropriate number of pixels to have by the color sample needed by the algorithm.
  • Keywords
    image colour analysis; image segmentation; numerical analysis; ROC curves; color information; ground truth; image characterization; image pixels; numerical evaluation; semiautomatic color image segmentation method; synthetic images; threshold selection; Algorithm design and analysis; Color; Colored noise; Image color analysis; Image segmentation; Signal to noise ratio; Color segmentation characterization; Color segmentation evaluation; ROC curves evaluation; Synthetic color image generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2014 13th Mexican International Conference on
  • Print_ISBN
    978-1-4673-7010-3
  • Type

    conf

  • DOI
    10.1109/MICAI.2014.14
  • Filename
    7222842