Regular ArticleZoom-Invariant Vision of Figural Shape: Effects on Cores of Image Disturbances☆
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Cited by (30)
The multiresolution gradient vector field skeleton
2007, Pattern RecognitionExtracting branching tubular object geometry via cores
2004, Medical Image AnalysisAmygdala-hippocampal shape differences in schizophrenia: The application of 3D shape models to volumetric MR data
2002, Psychiatry Research - NeuroimagingCitation Excerpt :Measures of shape are, nonetheless, complex. An entire field of computer science, in fact, has focused on quantitative descriptions of the shape of objects (e.g. Van Essen and Maunsell, 1980; Caviness et al., 1988; Kass et al., 1988; Bajcsy and Kovacic, 1989; Bookstein, 1989, 1997a,b,c; Evans et al., 1991; Cohen et al., 1992; Collins et al., 1992; Cootes and Taylor, 1992; Brechbühler et al., 1992; Hill and Taylor, 1992; Hill et al., 1992; Talbot and Vincent, 1992; Cootes et al., 1993; Gee et al., 1993; Grenander, 1993; Christensen et al., 1994, 1996, 1997; Attali and Montanvert, 1994; Brechbühler et al., 1995; Haller et al., 1996, 1997; Drury et al., 1996; Székely et al., 1996; Näf et al., 1996, 1997; Bookstein, 1997a,b,c; Joshi et al., 1997; Morse et al., 1998; Pizer et al., 1998; Angenent et al., 1999; Kelemen et al., 1999). Such descriptions have involved the use of a skeleton or medial axis to extract shape features (e.g. Blum, 1967, 1973; Bruce and Giblin, 1986; Talbot and Vincent, 1992; Ogniewicz, 1993; Attali and Montanvert, 1994; Kimia et al., 1995; Näf et al., 1996, 1997; August et al., 1999; Golland et al., 1999).
Optimal parameter height ridges
2002, Journal of Visual Communication and Image RepresentationA saliency-based hierarchy for local symmetries
2002, Image and Vision Computing
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R. Robb
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E-mail: [email protected]