Rule-based image segmentation: A dynamic control strategy approach
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Radiomics in breast cancer classification and prediction
2021, Seminars in Cancer BiologyCitation Excerpt :Atlas-based segmentation approaches uses a reference image (i.e. atlas) to segment and label anatomical structures [47,50]. Rule-based methods are based on various measurements, named rules, used to iteratively evaluate segmentation quality [51]. Also, so-called shape models segment a ROI by fitting an estimating shape to the desired area of the image [52].
Object based image analysis for remote sensing
2010, ISPRS Journal of Photogrammetry and Remote SensingCitation Excerpt :The subject of OBIA is related to concepts of object-oriented software and to object handling in the GIS world; the reader is referred to a recent review paper on object-oriented presentation in GIS by Bian (2007). It is generally agreed (Blaschke et al., 2000; Blaschke and Strobl, 2001; Schiewe, 2002; Hay et al., 2003; Burnett and Blaschke, 2003; Koch et al., 2003; Flanders et al., 2003; Benz et al., 2004; Blaschke et al., 2004; Zhang et al., 2005a; Liu et al., 2006; Navulur, 2007; Lang, 2008; Hay and Castilla, 2008) that OBIA builds on older segmentation, edge-detection, feature extraction and classification concepts that have been used in remote sensing image analysis for decades (Kettig and Landgrebe, 1976; Haralick, 1983; Haralick and Shapiro, 1985; Levine and Nazif, 1985; Strahler et al., 1986; McKeown et al., 1989; Pal and Pal, 1993; Câmara et al., 1996; Hay et al., 1996; Lobo et al., 1996; Ryherd and Woodcock, 1996; Wulder, 1998; Aplin et al., 1999; Baltsavias, 2004). Its emergence has nevertheless provided a new, critical bridge between the spatial concepts applied in multiscale landscape analysis (Wu, 1999; Hay et al., 2001; Wu and David, 2002; Burnett and Blaschke, 2003), Geographic Information Systems (GIS, (Câmara et al., 1996; Yu et al., 2006)), Geographic Information Science (abbreviated to GIScience, see (Goodchild, 1992, 2004)), and the synergy between image-objects and their radiometric characteristics and analyses in Earth Observation data (Benz et al., 2004; Blaschke et al., 2004; Langanke et al., 2007; Laliberte et al., 2007; Navulur, 2007; Möller et al., 2007; Jobin et al., 2008; Stow et al., 2008; Tiede et al., 2008; Trias-Sanz et al., 2008; Aubrecht et al., 2008; van der Werff and van der Meer, 2008; Weinke et al., 2008).
Image interpretation with a conceptual graph: Labeling over-segmented images and detection of unexpected objects
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This research was supported in part by the Natural Sciences and Engineering Research Council under Grant A4156, and in part by an FCAC grant awarded by the Department of Education, Province of Quebec, under Grant EQ-633.