• DocumentCode
    3638981
  • Title

    A bio-inspired software for segmenting digital images

  • Author

    Daniel Dfaz-Pernil;Helena Molina-Abril;Pedro Real;Miguel A. Gutiérrez-Naranjo

  • Author_Institution
    Research Group on Computational Topology and Applied Mathematics, Universidad de Sevilla, Spain
  • fYear
    2010
  • Firstpage
    1377
  • Lastpage
    1381
  • Abstract
    Segmentation in computer vision refers to the process of partitioning a digital image into multiple segments (sets of pixels). It has several features which make it suitable for techniques inspired by nature. It can be parallelized, locally solved and the input data can be easily encoded by bio-inspired representations. In this paper, we present a new software for performing a segmentation of 2D digital images based on Membrane Computing techniques.
  • Keywords
    "Image segmentation","Presses","Biomedical imaging"
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645062
  • Filename
    5645062