Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information

doi:10.1109/TIP.2016.2614127

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	Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information
	Qian, Yanjun 1; Huang, Jianhua Z.2; Li, Xiaodong 3; Ding, Yu 1
	2016-12-01
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN	1057-7149
卷号	26 期号:12 页码:5713-5726
摘要	This paper studies the problem of detecting the presence of nanoparticles in noisy transmission electron microscopic (TEM) images and then fitting each nanoparticle with an elliptic shape model. In order to achieve robustness while handling low contrast and high noise in the TEM images, we propose an approach to fuse two kinds of complementary image information, namely, the pixel intensity and the gradient (the first derivative in intensity). Our approach entails two main steps: 1) the first step is to, after necessary pre-processing, employ both intensity-based information and gradient-based information to process the same TEM image and produce two independent sets of results and 2) the subsequent step is to formulate a binary integer programming (BIP) problem for conflict resolution among the two sets of results. Solving the BIP problem determines the final nanoparticle identification. We apply our method to a set of TEM images taken under different microscopic resolutions and noise levels. The empirical results show the merit of the proposed method. It can process a TEM image of 1024 x 1024 pixels in a few minutes, and the processed outcomes appear rather robust.
关键词	Binary integer programming complementary information fusion image segmentation multi-expert system nanoparticle analysis
DOI	10.1109/TIP.2016.2614127
语种	英语
资助项目	AFOSR DDDAS Program[FA9550-13-1-0075] ; AFOSR DDDAS Program[FA9550-13-1-007] ; NSF[DMS-1208952] ; NSF[CMMI-1000088] ; King Abdullah University of Science and Technology[KUS-CI-016-04]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000386247800006
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/23824
专题	中国科学院数学与系统科学研究院
通讯作者	Qian, Yanjun
作者单位	1.Texas A&M Univ, Dept Ind & Syst Engn, College Stn, TX 77843 USA 2.Texas A&M Univ, Dept Stat, College Stn, TX 77843 USA 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Qian, Yanjun,Huang, Jianhua Z.,Li, Xiaodong,et al. Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2016,26(12):5713-5726.
APA	Qian, Yanjun,Huang, Jianhua Z.,Li, Xiaodong,&Ding, Yu.(2016).Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information.IEEE TRANSACTIONS ON IMAGE PROCESSING,26(12),5713-5726.
MLA	Qian, Yanjun,et al."Robust Nanoparticles Detection From Noisy Background by Fusing Complementary Image Information".IEEE TRANSACTIONS ON IMAGE PROCESSING 26.12(2016):5713-5726.