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Article: Morphological Scale Space for 2D Shape Smoothing

TitleMorphological Scale Space for 2D Shape Smoothing
Authors
KeywordsAlgorithms
Computer vision
Edge detection
Feature extraction
Image analysis
Image quality
Mathematical morphology
Signal filtering and prediction
Issue Date1998
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/cviu
Citation
Computer Vision And Image Understanding, 1998, v. 70 n. 2, p. 121-141 How to Cite?
AbstractIn this paper, we describe a multiple-scale boundary representation based on morphological operations. An object boundary is first progressively smoothed by a number of opening and closing operations using a structuring element of increasing size, generating a multiple scale representation of the object. Then, smooth boundry segments across a continuum of scales are extracted and linked together creating a pattern called the morphological scale space. Properties of this scale space pattern are investigated and contrasted with those of Gaussian scale space. A shape smoothing algorithm based on this scale space is proposed to show how the scale space representation could be applied to image analysis. Specifically, in line with Witkin's scale space filtering, boundary features that are explicitly related across scales by the morphological scale space are organized into global regions and local boundary features. From the organization, perceptually dominant features for a smooth boundary are determined without the requirement of prior knowledge of the object nor input parameters. Extensive experiments were conducted to show the performance of morphological scale space for 2D shape smoothing. © 1998 Academic Press.
Persistent Identifierhttp://hdl.handle.net/10722/65509
ISSN
2015 Impact Factor: 2.134
2015 SCImago Journal Rankings: 1.490
References

 

DC FieldValueLanguage
dc.contributor.authorJang, BKen_HK
dc.contributor.authorChin, RTen_HK
dc.date.accessioned2010-08-31T07:14:52Z-
dc.date.available2010-08-31T07:14:52Z-
dc.date.issued1998en_HK
dc.identifier.citationComputer Vision And Image Understanding, 1998, v. 70 n. 2, p. 121-141en_HK
dc.identifier.issn1077-3142en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65509-
dc.description.abstractIn this paper, we describe a multiple-scale boundary representation based on morphological operations. An object boundary is first progressively smoothed by a number of opening and closing operations using a structuring element of increasing size, generating a multiple scale representation of the object. Then, smooth boundry segments across a continuum of scales are extracted and linked together creating a pattern called the morphological scale space. Properties of this scale space pattern are investigated and contrasted with those of Gaussian scale space. A shape smoothing algorithm based on this scale space is proposed to show how the scale space representation could be applied to image analysis. Specifically, in line with Witkin's scale space filtering, boundary features that are explicitly related across scales by the morphological scale space are organized into global regions and local boundary features. From the organization, perceptually dominant features for a smooth boundary are determined without the requirement of prior knowledge of the object nor input parameters. Extensive experiments were conducted to show the performance of morphological scale space for 2D shape smoothing. © 1998 Academic Press.en_HK
dc.languageengen_HK
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/cviuen_HK
dc.relation.ispartofComputer Vision and Image Understandingen_HK
dc.subjectAlgorithmsen_HK
dc.subjectComputer visionen_HK
dc.subjectEdge detectionen_HK
dc.subjectFeature extractionen_HK
dc.subjectImage analysisen_HK
dc.subjectImage qualityen_HK
dc.subjectMathematical morphologyen_HK
dc.subjectSignal filtering and predictionen_HK
dc.titleMorphological Scale Space for 2D Shape Smoothingen_HK
dc.typeArticleen_HK
dc.identifier.emailChin, RT: rchin@hku.hken_HK
dc.identifier.authorityChin, RT=rp01300en_HK
dc.description.naturelink_to_subscribed_fulltexten_HK
dc.identifier.scopuseid_2-s2.0-0032072383en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032072383&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume70en_HK
dc.identifier.issue2en_HK
dc.identifier.spage121en_HK
dc.identifier.epage141en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridJang, BK=7102746858en_HK
dc.identifier.scopusauthoridChin, RT=7102445426en_HK

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