• DocumentCode
    454896
  • Title

    Galaxy Filament Detection Using the Quality Candy Model

  • Author

    Gernez, P. ; Descombes, X. ; Zerubia, J. ; Slezak, E. ; Bijaoui, A.

  • Author_Institution
    Ariana Res. Group, INRIA
  • Volume
    2
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    We propose to apply a marked point process to detect a galaxy filament network. From the "quality candy" model, initially developed for road network extraction in remotely sensed images, we adapt the data term to the filament detection. The optimization is realized by a simulated annealing using a reversible jump Markov Chain Monte Carlo algorithm. Results are presented on a numerical simulation and on an astronomical survey
  • Keywords
    Markov processes; Monte Carlo methods; astronomical techniques; astronomy computing; object detection; simulated annealing; astronomical survey; galaxy filament detection; quality candy model; reversible jump Markov Chain Monte Carlo algorithm; simulated annealing; Data mining; Fuzzy sets; Iterative algorithms; Monte Carlo methods; Network topology; Numerical simulation; Random variables; Roads; Simulated annealing; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1660447
  • Filename
    1660447