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Derivative computation by multiscale filters
De Ma, S; Li, BC
Source PublicationIMAGE AND VISION COMPUTING
1998-01-30
Volume16Issue:1Pages:43-53
SubtypeArticle
AbstractIt 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).
KeywordDerivative Computation Multiscale Filters
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
WOS KeywordEDGE-DETECTION ; OPTICAL-FLOW
Indexed BySCI ; ISTP
Language英语
WOS Research AreaComputer Science ; Engineering ; Optics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS IDWOS:000072392000007
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9777
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Pattern Recognit Lab, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
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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