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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
A Landweber Algorithm for 3D Confocal Microscopy Restoration
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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Daan Zhu, Moe Razaz, Richard Lee, "A Landweber Algorithm for 3D Confocal Microscopy Restoration," Pattern Recognition, International Conference on, vol. 1, pp. 552-555, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334197,
author = {Daan Zhu and Moe Razaz and Richard Lee},
title = {A Landweber Algorithm for 3D Confocal Microscopy Restoration},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {552-555},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334197},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A Landweber Algorithm for 3D Confocal Microscopy Restoration
SN - 1051-4651
SP552
EP555
A1 - Daan Zhu,
A1 - Moe Razaz,
A1 - Richard Lee,
PY - 2004
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Daan Zhu, University of East Anglia, U.K.
Moe Razaz, University of East Anglia, U.K.
Richard Lee, University of East Anglia, U.K.
A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative de-convolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA.
Citation:
Daan Zhu, Moe Razaz, Richard Lee, "A Landweber Algorithm for 3D Confocal Microscopy Restoration," icpr, vol. 1, pp.552-555, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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