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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660447
