Optimization of mean-shift scale parameters on the EGEE grid.
This paper studies the optimization of Mean-Shift (MS) image filtering scale parameters. A parameter sweep experiment representing 164 days of CPU is performed on the EGEE grid. The mathematical foundations of Mean-Shift and the grid environment used for the deployment are described in details. The experiments and results are then discussed highlighting the efficiency of gradient ascent algorithm for MS parameters optimization and a number of grid observations related to data transfers, reliability, task scheduling, CPU time and usability.
Li
Ting
T
Université de Lyon, CNRS, INSERM, CREATIS, 69621 Villeurbanne, France.
Camarasu-Pop
Sorina
S
Glatard
Tristan
T
Grenier
Thomas
T
Benoit-Cattin
Hugues
H
D000465:Algorithms; D003195:Computer Communication Networks / Q000458:organization & administration*; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data