2011
DOI: 10.1080/13658816.2010.498377
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Numerical experiments with cooperating multiple quadratic snakes for road extraction

Abstract: Higher-order active contours or snakes show much promise for the extraction of complex objects from noisy imagery. These models provide an elegant mathematical framework for specifying the desired properties of target objects through energy functionals that can be minimized with standard optimization techniques. However, techniques to allow quadratic snakes to change topology during segmentation have not been fully exploited. Additionally, external forces for improving convergence of quadratic snakes have simi… Show more

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Cited by 13 publications
(7 citation statements)
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“…2) variable template: The commonly used models include the dynamic contour model [29], [30] and the level set model [31], [32]. For example, Nakaguro et al [30] used the level set method to segment remote sensing images. The second-order moment is calculated, and the road networks are extracted using prior information about the geometric shape.…”
Section: Introductionmentioning
confidence: 99%
“…2) variable template: The commonly used models include the dynamic contour model [29], [30] and the level set model [31], [32]. For example, Nakaguro et al [30] used the level set method to segment remote sensing images. The second-order moment is calculated, and the road networks are extracted using prior information about the geometric shape.…”
Section: Introductionmentioning
confidence: 99%
“…The first set of studies concentrates on road recognition by using their geometric properties, such as radon transform [4] and mathematical morphology [5], [6]. The second set of methods concentrates on the variance between roads and their neighbor such as active contour models also called snakes [7]. The third set of studies for road extraction depends on image classification by using the spectral properties of road materials from multispectral satellite images.…”
Section: Introductionmentioning
confidence: 99%
“…According to this concept, templates can generally be divided into variable templates and rule templates. Commonly used variable templates include dynamic contour models [30][31][32][33] and level set models [30]. Rule templates include profile templates [34,35], rectangular templates [36], and T-shaped templates [37].…”
Section: Introductionmentioning
confidence: 99%