计算机工程与应用2016，Vol.52Issue(24)：205-209,5.DOI:10.3778/j.issn.1002-8331.1604-0048
基于复合正则化的荧光显微图像三维重建
Fluorescence microscopic image three dimensional reconstruc-tion based on hybrid regularizer
摘要
Abstract
For the three-dimensional(3-D)reconstruction of the fluorescence microscopic image, this paper adopts the total generalized variation and shearlet transform as regularization term to construct image reconstruction model. Aiming at the high order and non-smooth feature of the reconstruction model, the proposed model is solved via the Variable Splitting(VS) theory and the Split Bregman(SB)method. In this paper an image 3-D reconstruction method is proposed to achieve edge preservation and to avoid oil-painting artifacts for fluorescence microscopic samples. By appropriately choosing the rea-sonable parameters, the best restoration result can be obtained. The experimental results show the effectiveness and feasi-bility of the proposed algorithm in terms of the synthetic image stack and real fluorescence microscopic image stack.关键词
三维重建/广义全变差/剪切波变换/变量分离/分裂BregmanKey words
three-dimensional reconstruction/total generalized variation/shearlet transform/variable splitting/split Bregman分类
信息技术与安全科学引用本文复制引用
张长春,王瑜,肖洪兵..基于复合正则化的荧光显微图像三维重建[J].计算机工程与应用,2016,52(24):205-209,5.基金项目
北京市自然基金面上项目(No.4162018) （No.4162018）
北京市委组织部青年拔尖人才支持计划项目(No.2014000026833ZK14) （No.2014000026833ZK14）
北京市属高等学校高层次人才引进与培养计划项目(No.CIT&TCD201504010) （No.CIT&TCD201504010）
北京市优秀人才培养资助项目(No.2012D005003000010). （No.2012D005003000010）
