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Dyadic scale space
Cong, G; Ma, SD
1997-02-01
发表期刊PATTERN RECOGNITION
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
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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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