| Aurora image segmentation by combining patch and texture thresholding | |
Gao, Xinbo2; Fu, Rong2; Li, Xuelong1 ; Tao, Dacheng3; Zhang, Beichen4; Yang, Huigen4
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| 2011-03-01 | |
| 发表期刊 | COMPUTER VISION AND IMAGE UNDERSTANDING
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| 卷号 | 115期号:3页码:390-402 |
| 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. |
| 文章类型 | Article |
| 关键词 | Image Segmentation Feature Extraction Lbp Aurora Texture Segmentation Otsu Patch Segmentation |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.cviu.2010.11.011 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | LOCAL BINARY PATTERNS ; ROTATION-INVARIANT ; ACTIVE CONTOURS ; CLASSIFICATION ; SCALE |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Engineering |
| WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS记录号 | WOS:000287772400010 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/25364 |
| 专题 | 光谱成像技术研究室 |
| 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. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Aurora image segment（1755KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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