| Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions | |
Wang, Yu1,2,3 ; Shi, Cunzhao1; Wang, Chunheng1; Xiao, Baihua1
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| Source Publication | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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| 2017-07-01 | |
| Volume | 14Issue:7Pages:1106-1110 |
| Subtype | Article |
| Abstract | Currently, ground-based cloud images taken by using a whole-sky imager are especially popular in the field of meteorology because of their high resolution and accurate cloud information. Cloud images are natural texture images, and thus texture features based on local binary patterns (LBPs) are widely used to analyze texture images. However, the high-computation cost of extracting LBP features from high-resolution cloud texture images may make this technique unacceptable in practical image processing. A commonly adopted method is to resize the original image to an appropriate version with a decreased resolution. But this process will inevitably result in information loss. Accordingly, a measure based on the Kullback-Leibler (KL) divergence of the difference between LBP histogram features extracted from the original and resized images with varying resolutions is reported in this letter. Furthermore, a confidence interval technique is introduced to validate the significance of such difference. Experiments based on real ground-based cloud images show the measurement results of KL divergence in LBP features extracted from original and resized images. The experimental results indicate that images should be resized with caution when performing image processing. |
| Keyword | Kullback-leibler (Kl) Divergence Local Binary Patterns (Lbps) Measure Significance |
| WOS Headings | Science & Technology ; Physical Sciences ; Technology |
| WOS Keyword | LOCAL BINARY PATTERNS ; TEXTURE CLASSIFICATION ; TROPICAL REGION ; COVER ; SEGMENTATION |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | National Natural Science Foundation of China(61531019 ; 61601462 ; 61503228) |
| WOS Research Area | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS Subject | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS ID | WOS:000404291500025 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/15224 |
| Collection | 复杂系统管理与控制国家重点实验室_先进机器人 |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China 3.Shanxi Univ, Sch Software, Taiyuan 030006, Peoples R China |
| Recommended Citation GB/T 7714 | Wang, Yu,Shi, Cunzhao,Wang, Chunheng,et al. Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14(7):1106-1110. |
| APA | Wang, Yu,Shi, Cunzhao,Wang, Chunheng,&Xiao, Baihua.(2017).Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14(7),1106-1110. |
| MLA | Wang, Yu,et al."Measure for the Difference Between LBP Features Extracted From Original and Resized Cloud Images With Varying Resolutions".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14.7(2017):1106-1110. |
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| Measure for the Diff（1224KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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