Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyRuedaUdupBai:2007:ApLoLa
TitleLocal scale for boundary shape description: application in locating landmarks automatically
FormatPrinted, On-line.
DateOct. 7-10, 2007
Access Date2021, Jan. 16
Number of Files1
Size357 KiB
Context area
Author1 Rueda, Sylvia
2 Udupa, Jayaram K.
3 Bai, Li
Affiliation1 School of Computer Science, University of Nottingham, Nottingham
2 Department of Radiology, University of Pennsylvania, Philadelphia
3 School of Computer Science, University of Nottingham, Nottingham
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2007-07-06 14:17:13 :: -> administrator ::
2007-08-02 21:17:15 :: administrator -> ::
2008-07-17 14:09:42 :: -> administrator ::
2009-08-13 20:38:18 :: administrator -> banon ::
2010-08-28 20:02:26 :: banon -> administrator ::
2020-02-19 03:06:18 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordsshape description, curvature, scale, boundary shape, digital boundary.
AbstractA good shape descriptor is necessary for automatically identifying landmarks on boundaries. Our method of boundary shape description is based on the notion of c-scale, which is a new local scale concept, defined at each boundary element. From this representation we can extract special points of interest such as convex and concave corners, straight lines, circular segments, and inflection points. The results show that this method gives a complete description of shape and allows the automatic positioning of mathematical landmarks, which agree with our intuitive ideas of where landmarks may be defined. This method is applicable to spaces of any dimensionality, although we have focused in this paper on 2D shapes.
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Target Filerueda-LocalScaleBoundaryShapeDescription.pdf
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