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		<citationkey>RuedaUdupBai:2007:ApLoLa</citationkey>
		<author>Rueda, Sylvia,</author>
		<author>Udupa, Jayaram K.,</author>
		<author>Bai, Li,</author>
		<affiliation>School of Computer Science, University of Nottingham, Nottingham</affiliation>
		<affiliation>Department of Radiology, University of Pennsylvania, Philadelphia</affiliation>
		<affiliation>School of Computer Science, University of Nottingham, Nottingham</affiliation>
		<title>Local scale for boundary shape description: application in locating landmarks automatically</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Falcão, Alexandre Xavier,</editor>
		<editor>Lopes, Hélio Côrtes Vieira,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>shape description, curvature, scale, boundary shape, digital boundary.</keywords>
		<abstract>A 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.</abstract>
		<language>en</language>
		<tertiarytype>Full Paper</tertiarytype>
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