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Aurora image segmentation by combining patch and texture thresholding

文献类型：期刊论文

作者Gao, Xinbo2; Fu, Rong2; Li, Xuelong1; Tao, Dacheng3; Zhang, Beichen4; Yang, Huigen4
刊名computer vision and image understanding
出版日期2011-03-01
卷号115期号:3页码:390-402
关键词Image segmentation Feature extraction LBP Aurora Texture segmentation Otsu Patch segmentation
英文摘要the proportion of aurora to the field-of-view in temporal series of all-sky images is an important index to investigate the evolvement of aurora. to obtain such an index, a crucial phase is to segment the aurora from the background of sky. a new aurora segmentation approach, including a feature extraction method and the segmentation algorithm, is presented in this paper. the proposed feature extraction method, called adaptive local binary patterns (albp), selects the frequently occurred patterns to construct the main pattern set, which avoids using the same pattern set to describe different texture structures in traditional local binary patterns. according to the different morphologies and different semantics of aurora, the segmentation algorithm is designed into two parts, texture part segmentation based on albp features and patch part segmentation based on modified otsu method. as it is simple and efficient, our implementation is suitable for large-scale datasets. the experiments exhibited the segmentation effect of the proposed method is satisfactory from human visual aspect and segmentation accuracy. (c) 2010 elsevier inc. all rights reserved.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; engineering, electrical & electronic
研究领域[WOS]computer science ; engineering
关键词[WOS]local binary patterns ; rotation-invariant ; active contours ; classification ; scale
收录类别SCI ; EI
语种英语
WOS记录号WOS:000287772400010
公开日期2015-10-20
源URL[http://ir.opt.ac.cn/handle/181661/25364]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
2.Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China
3.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
4.Polar Res Inst China, SOA Key Lab Polar Sci, Shanghai 200136, Peoples R China
推荐引用方式
GB/T 7714		 Gao, Xinbo,Fu, Rong,Li, Xuelong,et al. Aurora image segmentation by combining patch and texture thresholding[J]. computer vision and image understanding,2011,115(3):390-402.
APA Gao, Xinbo,Fu, Rong,Li, Xuelong,Tao, Dacheng,Zhang, Beichen,&Yang, Huigen.(2011).Aurora image segmentation by combining patch and texture thresholding.computer vision and image understanding,115(3),390-402.
MLA Gao, Xinbo,et al."Aurora image segmentation by combining patch and texture thresholding".computer vision and image understanding 115.3(2011):390-402.

入库方式： OAI收割

来源：西安光学精密机械研究所

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