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Proceedings Paper

Parallel training and testing methods for complex image processing algorithms on distributed, heterogeneous, unreliable, and non-dedicated resources
Author(s): Rubén Usamentiaga; Daniel F. García; Julio Molleda; Ignacio Sainz; Francisco G. Bulnes
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Paper Abstract

Advances in the image processing field have brought new methods which are able to perform complex tasks robustly. However, in order to meet constraints on functionality and reliability, imaging application developers often design complex algorithms with many parameters which must be finely tuned for each particular environment. The best approach for tuning these algorithms is to use an automatic training method, but the computational cost of this kind of training method is prohibitive, making it inviable even in powerful machines. The same problem arises when designing testing procedures. This work presents methods to train and test complex image processing algorithms in parallel execution environments. The approach proposed in this work is to use existing resources in offices or laboratories, rather than expensive clusters. These resources are typically non-dedicated, heterogeneous and unreliable. The proposed methods have been designed to deal with all these issues. Two methods are proposed: intelligent training based on genetic algorithms and PVM, and a full factorial design based on grid computing which can be used for training or testing. These methods are capable of harnessing the available computational power resources, giving more work to more powerful machines, while taking its unreliable nature into account. Both methods have been tested using real applications.

Paper Details

Date Published: 25 January 2011
PDF: 10 pages
Proc. SPIE 7872, Parallel Processing for Imaging Applications, 787205 (25 January 2011); doi: 10.1117/12.872212
Show Author Affiliations
Rubén Usamentiaga, Univ. de Oviedo (Spain)
Daniel F. García, Univ. de Oviedo (Spain)
Julio Molleda, Univ. de Oviedo (Spain)
Ignacio Sainz, Univ. de Oviedo (Spain)
Francisco G. Bulnes, Univ. de Oviedo (Spain)

Published in SPIE Proceedings Vol. 7872:
Parallel Processing for Imaging Applications
John D. Owens; I-Jong Lin; Yu-Jin Zhang; Giordano B. Beretta, Editor(s)

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