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Derivative computation by multiscale filters
De Ma, S; Li, BC
1998-01-30
发表期刊IMAGE AND VISION COMPUTING
卷号16期号:1页码:43-53
文章类型Article
摘要It is a common problem to compute the derivative of a signal in image processing and computer vision. So far, in most of the computational methods, the nth order derivative of a noisy signal is obtained by filtering the signal by a nth Order Derivative Filter (NODF), which is the nth order derivative of a smooth filter. In order to do this, the given smooth filter has to be an Analytic Smooth Function Derivable up to nth order (ASFDN).
关键词Derivative Computation Multiscale Filters
WOS标题词Science & Technology ; Technology ; Physical Sciences
关键词[WOS]EDGE-DETECTION ; OPTICAL-FLOW
收录类别SCI ; ISTP
语种英语
WOS研究方向Computer Science ; Engineering ; Optics
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS记录号WOS:000072392000007
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9777
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Pattern Recognit Lab, Beijing 100080, Peoples R China
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De Ma, S,Li, BC. Derivative computation by multiscale filters[J]. IMAGE AND VISION COMPUTING,1998,16(1):43-53.
APA De Ma, S,&Li, BC.(1998).Derivative computation by multiscale filters.IMAGE AND VISION COMPUTING,16(1),43-53.
MLA De Ma, S,et al."Derivative computation by multiscale filters".IMAGE AND VISION COMPUTING 16.1(1998):43-53.
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