2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:TP-L2.3
Session:Image and Video Filtering and Multiresolution Processing
Time:Tuesday, September 18, 15:10 - 15:30
Presentation: Lecture
Title: EFFECTIVE COMPONENT TREE COMPUTATION WITH APPLICATION TO PATTERN RECOGNITION IN ASTRONOMICAL IMAGING
Authors: Christophe Berger; EPITA Research and Development Laboratory (LRDE) 
 Thierry GĂ©raud; EPITA Research and Development Laboratory (LRDE) 
 Roland Levillain; EPITA Research and Development Laboratory (LRDE) 
 Nicolas Widynski; EPITA Research and Development Laboratory (LRDE) 
 Anthony Baillard; Institut d'Astrophysique de Paris 
 Emmanuel Bertin; Institut d'Astrophysique de Paris 
Abstract: In this paper a new algorithm to compute the component tree is presented. As compared to the state-of-the-art, this algorithm does not use excessive memory and is able to work efficiently on images whose values are highly quantized or even with images having floating values. We also describe how it can be applied to astronomical data to identify relevant objects.



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