Edge-based Color Constancy via Support Vector Regression
文献类型：期刊论文
| 作者 | Ning Wang ; De Xu; Bing Li
|
| 刊名 | IEICE Trans. On Inf. & Sys.
 |
| 出版日期 | 2009 |
| 卷号 | E91-D期号:11页码:2279-2282 |
| 关键词 | Color Constancy |
| 英文摘要 | Color constancy is the ability to measure colors of objects independent of the light source color. Various methods have been proposed to handle this problem. Most of them depend on the statistical distributions of the pixel values. Recent studies show that incorporation image derivatives are more effective than the direct use of pixel values. Based on this idea, a novel edge-based color constancy algorithm using support vector regression (SVR) is proposed. Contrary to existing SVR color constancy algorithm, which is computed from the zero-order structure of images, our method is based on the higher-order structure of images. The experimental results show that our algorithm is more effective than the zero-order SVR color constancy methods. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20389]  |
| 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 | Beijing Jiaotong University |
| 推荐引用方式 GB/T 7714 | Ning Wang,De Xu,Bing Li. Edge-based Color Constancy via Support Vector Regression[J]. IEICE Trans. On Inf. & Sys.,2009,E91-D(11):2279-2282. |
| APA | Ning Wang,De Xu,&Bing Li.(2009).Edge-based Color Constancy via Support Vector Regression.IEICE Trans. On Inf. & Sys.,E91-D(11),2279-2282. |
| MLA | Ning Wang,et al."Edge-based Color Constancy via Support Vector Regression".IEICE Trans. On Inf. & Sys. E91-D.11(2009):2279-2282. |
入库方式： OAI收割
来源：自动化研究所
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