学术
基于马尔科夫约束最大后验概率三维显微图像复原算法
陈华[1,2] 金伟其[1] 苏秉华[1] 王霞[1]
[1]北京理工大学信息科学技术学院光电工程系,北京100081 [2]广西大学计算机与电子信息学院,广西南宁530004
摘 要:
提出了基于马尔科夫约束的最大后验概率三维显微图像复原算法（3D MPMAP算法）．该算法根据显微图像三维的特点，构造三维PSF，对二维邻域进行三维拓展，对正则化参量进行简化，实现了三维显微图像的复原．实验结果表明，各种信噪比的仿真三维显微图像的散焦信息干扰得到很大程度的排除，复原图像频谱得到较大的恢复，清晰度明显提高．实际生物样本三维显微图像也获得了满意的复原效果．[著者文摘]
文章出处:
《北京理工大学学报》-2006年26卷7期 -634-638页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1001-0645（2006）07-0634-05
Maximum a Posteriori Restoration with Markov Constraint for Three-Dimensional Optical-Sectioning Microscopy
CHEN Hua, JIN Wei-qi, SU Bing-hua, WANG Xia （1. Department of Optical Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China; 2. School of Computer and Electronics and Information, Guangxi University, Nanning, Guangxi 530004, China）
Abstract:
Maximum a posteriori 3D restoration algorithm （3D MPMAP） with Markov constraint for three-dimensional optical-sectioning microscopy is proposed. According to the 3D feature of the microscopic image, 3D point-spread-function is made, 2D neighborhood is continued to 3D and the regularization parameter is simplified. As a result, the restoration of 3D microscopic image is achieved. Experimental results showed that the disturbance from out-of-focus signals is suppressed greatly in simulated microscopic images with different signal-to-noise ratio, and the spectra of the restored images are recovered greatly, the definition is improved obviously, and better effect in image restoration is reached for the microscopic images of actual biological specimens.[著者文摘]
Key words:
image restoration; 3D microscopic image; MPMAP algorithm; 3D point-spread-function
基金资助:
高等学校博士学科点专项科研基金资助课题（20020007006）
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