Fuzzy logic and maximum a posteriori-based image restoration for confocal microscopy

被引：21
|
作者：
Vicidomini, Giuseppe [1 ]
Mondal, Partha Pratim
Diaspro, Alberto
机构：
[1] Univ Genoa, LAMBS MicroSCoBiO, DISI, I-16146 Genoa, Italy
[2] Abdus Salaam Int Ctr Theoret Phys, I-34014 Trieste, Italy
[3] Univ Genoa, IFOM, FIRC, LAMBS,MicroSCoBiO,DIFI, I-16146 Genoa, Italy
来源：
OPTICS LETTERS | 2006年 / 31卷 / 24期
关键词：
D O I：
10.1364/OL.31.003582
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We propose a maximum a posteriori image restoration approach to 3D confocal. microscopy. The image field is suitably modeled as a Markov random field, resulting in a Gibbs distributed image. A fuzzy-logic-based potential is employed in the Gibbs prior. Unlike other potentials, the fuzzy potential distinguishes intensity variation due to genuine edges and noise. The proposed approach has generated artifact-free restored con-focal microscopy images. (c) 2006 Optical Society of America.
引用
收藏
页码：3582 / 3584
页数：3
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