1988
DOI: 10.1007/bf00133570
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Snakes: Active contour models

Abstract: A snake is an energy-minimizing spline guided by external constraint forces and influenced by image forces that pull it toward features such as lines and edges. Snakes are active contour models: they lock onto nearby edges, localizing them accurately. Scale-space continuation can be used to enlarge the capture region surrounding a feature. Snakes provide a unified account of a number of visual problems, including detection of edges, lines, and subjective contours; motion tracking; and stereo matching. We have … Show more

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Cited by 14,606 publications
(8,934 citation statements)
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References 20 publications
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“…Edge detection technique is not effective when applying on skin images, because of the additional details, such as hair. Active contours [38] and snake’s method [39] are less attractive due to the complex shape of the melanoma suspicious lesions. Since thresholding does not present any of these disadvantages [40], it could be used in order to get the reliable results.…”
Section: Methodsmentioning
confidence: 99%
“…Edge detection technique is not effective when applying on skin images, because of the additional details, such as hair. Active contours [38] and snake’s method [39] are less attractive due to the complex shape of the melanoma suspicious lesions. Since thresholding does not present any of these disadvantages [40], it could be used in order to get the reliable results.…”
Section: Methodsmentioning
confidence: 99%
“…The core algorithm for separating the muscle fibers from the connective tissue is based on active contour models as introduced by Kass et al (9). The method makes use of the level set technique known from Refs.…”
Section: Segmentation Methodsmentioning
confidence: 99%
“…A deformable model is a surface model with a generalized spline subject to internal and external constraints expressed by energies or forces [1,3]. Image segmentation is carried out by fitting the deformable model to image data under the influence of the model's internal and external constraints.…”
Section: Deformable Modelsmentioning
confidence: 99%
“…Deformable models, originally proposed by Terzopoulos et al [1,2] and Kass et al [3] in 1988, have been used widely in medical image segmentation. However, they manifest certain well known limitations that significantly restrict the scope of their applications.…”
Section: Introductionmentioning
confidence: 99%
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