中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Dyadic scale space

文献类型:期刊论文

作者Cong, G; Ma, SD
刊名PATTERN RECOGNITION
出版日期1997-02-01
卷号30期号:2页码:339-352
关键词Multiscale Signal Processing Scale Space Dyadic Scale Space Interpolation Feature Detection Approximating Gaussian Zero-crossing
文献子类Article
英文摘要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.
WOS关键词EDGE-DETECTION ; FILTERS
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:A1997WR18900015
源URL[http://ir.ia.ac.cn/handle/173211/21913]  
专题自动化研究所_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.

入库方式: OAI收割

来源:自动化研究所

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