Effective Component Tree Computation with Application to Pattern Recognition in Astronomical Imaging

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...

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Bibliographic Details
Published in2007 IEEE International Conference on Image Processing Vol. 4; pp. IV - 41 - IV - 44
Main Authors Berger, Ch, Geraud, T., Levillain, R., Widynski, N., Baillard, A., Bertin, E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Algorithm design and analysis
Algorithms
Astronomy
Computer applications
Morphological operations
Nonlinear filters
Optical diffraction
Optical imaging
Pattern recognition
Pixel
Quantization
Research and development
Telescopes
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Summary: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.
ISBN:9781424414369
1424414369
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2007.4379949