Knowledge Commons of Institute of Automation，CAS
| Dyadic scale space | |
Cong, G; Ma, SD
| |
| 发表期刊 | PATTERN RECOGNITION
 |
| 1997-02-01 | |
| 卷号 | 30期号:2页码:339-352 |
| 文章类型 | Article |
| 摘要 | In this paper, we first approximate the Gaussian function with any scale by the linear finite combination of Gaussian functions with dyadic scale; consequently, the scale space can be constructed much more efficiently: we only perform smoothing at these dyadic scales and the smoothed signals at other scales can be found by calculating linear combinations of these discrete scale signals. We show that the approximation error is so small that our approach can be used in most of the computer vision fields. We analyse the behavior of zero-crossing (ZC) across scales and show that features at any scale can be found efficiently by tracking from the dyadic scales, thus we show that the new representation is necessary and complete. In the case that the derivatives are calculated by a special multiscale filter, we show that all the derivative signals can be treated in the same way. Copyright (C) 1997 Pattern Recognition Society. |
| 关键词 | Multiscale Signal Processing Scale Space Dyadic Scale Space Interpolation Feature Detection Approximating Gaussian Zero-crossing |
| WOS标题词 | Science & Technology ; Technology |
| 关键词[WOS] | EDGE-DETECTION ; FILTERS |
| 收录类别 | SCI |
| 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:A1997WR18900015 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/21913 |
| 专题 | 09年以前成果 |
| 推荐引用方式 GB/T 7714 | Cong, G,Ma, SD. Dyadic scale space[J]. PATTERN RECOGNITION,1997,30(2):339-352. |
| APA | Cong, G,&Ma, SD.(1997).Dyadic scale space.PATTERN RECOGNITION,30(2),339-352. |
| MLA | Cong, G,et al."Dyadic scale space".PATTERN RECOGNITION 30.2(1997):339-352. |
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