Colour constancy based on texture similarity for natural images
文献类型：期刊论文
| 作者 | Li, Bing1,2 ; Xu, De1; Lang, Congyan1
|
| 刊名 | COLORATION TECHNOLOGY
 |
| 出版日期 | 2009 |
| 卷号 | 125期号:6页码:328-333 |
| 英文摘要 | Colour constancy is a classical problem in computer vision. Although there are a number of colour constancy algorithms based on different assumptions, none of them can be considered as universal. How to select or combine these available methods for different natural image characteristics is an important problem. Recent studies have shown that the texture feature is an important factor to consider when selecting the best colour constancy algorithm for a certain image. In this paper, Weibull parameterisation is used to identify the texture characteristics of colour images. According to the texture similarity, the best colour constancy method (or best combination of methods) is selected out for a specific image. The experiments were carried out on a large data set and the results show that this new approach outperforms current state-of-the-art single algorithms, as well as some combined algorithms. |
| WOS标题词 | Science & Technology ; Physical Sciences ; Technology |
| 类目[WOS] | Chemistry, Applied ; Engineering, Chemical ; Materials Science, Textiles |
| 研究领域[WOS] | Chemistry ; Engineering ; Materials Science |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000272632100003 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3246]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_视频内容安全团队 |
| 作者单位 | 1.Beijing Jiaotong Univ, Inst Comp Sci & Engn, Beijing 100044, Peoples R China 2.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Bing,Xu, De,Lang, Congyan. Colour constancy based on texture similarity for natural images[J]. COLORATION TECHNOLOGY,2009,125(6):328-333. |
| APA | Li, Bing,Xu, De,&Lang, Congyan.(2009).Colour constancy based on texture similarity for natural images.COLORATION TECHNOLOGY,125(6),328-333. |
| MLA | Li, Bing,et al."Colour constancy based on texture similarity for natural images".COLORATION TECHNOLOGY 125.6(2009):328-333. |
入库方式： OAI收割
来源：自动化研究所
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