File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Partial smoothing splines for noisy +boundaries with corners

TitlePartial smoothing splines for noisy +boundaries with corners
Authors
KeywordsApproximation theory
Differentiation (calculus)
Estimation
Image analysis
Parameter estimation
Pattern recognition
Sampling
Splines
Statistical methods
Issue Date1993
PublisherI E E E. The Journal's web site is located at http://www.computer.org/tpami
Citation
Ieee Transactions On Pattern Analysis And Machine Intelligence, 1993, v. 15 n. 11, p. 1208-1216 How to Cite?
AbstractWe have investigated the estimation of 2-D boundary functions from sampled data sets where both noise and corners are present. The approach is based on the partial smoothing spline in which the estimated boundary function consists of an ordinary smoothing spline and a parametric function that describes the discontinuities (i.e., corners of the boundary). Prior knowledge about the boundary, such as the number of corners, their locations, noise levels, and the amount of smoothness, is not required for the boundary estimate. The smoothing parameter and the corner locations of the spline, which are parts of the estimate, are determined by the generalized cross-validation method whereby statistical properties are gathered from the input sampled data rather than specified a priori. This approach enables the smoothing of a noisy boundary while retaining an accurate description of the boundary corners. Extensive experiments were conducted to verify its ability to smooth noise while retaining a good representation of boundary corners, and do not rely on any prior information.
Persistent Identifierhttp://hdl.handle.net/10722/65544
ISSN
2015 Impact Factor: 6.077
2015 SCImago Journal Rankings: 7.653

 

DC FieldValueLanguage
dc.contributor.authorChen, MeiHsingen_HK
dc.contributor.authorChin, Roland Ten_HK
dc.date.accessioned2010-08-31T07:15:15Z-
dc.date.available2010-08-31T07:15:15Z-
dc.date.issued1993en_HK
dc.identifier.citationIeee Transactions On Pattern Analysis And Machine Intelligence, 1993, v. 15 n. 11, p. 1208-1216en_HK
dc.identifier.issn0162-8828en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65544-
dc.description.abstractWe have investigated the estimation of 2-D boundary functions from sampled data sets where both noise and corners are present. The approach is based on the partial smoothing spline in which the estimated boundary function consists of an ordinary smoothing spline and a parametric function that describes the discontinuities (i.e., corners of the boundary). Prior knowledge about the boundary, such as the number of corners, their locations, noise levels, and the amount of smoothness, is not required for the boundary estimate. The smoothing parameter and the corner locations of the spline, which are parts of the estimate, are determined by the generalized cross-validation method whereby statistical properties are gathered from the input sampled data rather than specified a priori. This approach enables the smoothing of a noisy boundary while retaining an accurate description of the boundary corners. Extensive experiments were conducted to verify its ability to smooth noise while retaining a good representation of boundary corners, and do not rely on any prior information.en_HK
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://www.computer.org/tpamien_HK
dc.relation.ispartofIEEE Transactions on Pattern Analysis and Machine Intelligenceen_HK
dc.subjectApproximation theoryen_HK
dc.subjectDifferentiation (calculus)en_HK
dc.subjectEstimationen_HK
dc.subjectImage analysisen_HK
dc.subjectParameter estimationen_HK
dc.subjectPattern recognitionen_HK
dc.subjectSamplingen_HK
dc.subjectSplinesen_HK
dc.subjectStatistical methodsen_HK
dc.titlePartial smoothing splines for noisy +boundaries with cornersen_HK
dc.typeArticleen_HK
dc.identifier.emailChin, Roland T: rchin@hku.hken_HK
dc.identifier.authorityChin, Roland T=rp01300en_HK
dc.description.naturelink_to_subscribed_fulltexten_HK
dc.identifier.doi10.1109/34.244683en_HK
dc.identifier.scopuseid_2-s2.0-0027700793en_HK
dc.identifier.volume15en_HK
dc.identifier.issue11en_HK
dc.identifier.spage1208en_HK
dc.identifier.epage1216en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChen, MeiHsing=7407441058en_HK
dc.identifier.scopusauthoridChin, Roland T=7102445426en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats