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Snakes: Active contour models

by Michael Kass, Andrew Witkin, Demetri Terzopoulos - INTERNATIONAL JOURNAL OF COMPUTER VISION , 1988
"... 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 ..."
Abstract - Cited by 3951 (17 self) - Add to MetaCart
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

On active contour models and balloons

by D. Cohen - CVGIP: Image
"... The use.of energy-minimizing curves, known as “snakes, ” to extract features of interest in images has been introduced by Kass, Witkhr & Terzopoulos (Znt. J. Comput. Vision 1, 1987,321-331). We present a model of deformation which solves some of the problems encountered with the original method. ..."
Abstract - Cited by 588 (43 self) - Add to MetaCart
. The external forces that push the curve to the edges are modified to give more stable results. The original snake, when it is not close enough to contours, is not attracted by them and straightens to a line. Our model makes the curve behave like a balloon which is inflated by an additional force. The initial

Gradient flows and geometric active contour models

by Satyanad Kichenassamy, Peter Olver, Arun Kumar, Allen Tannenbaum, Anthony Yezzi - in Proc. of the 5th International Conference on Computer Vision , 1995
"... In this paper, we analyze the geometric active contour models discussed in [6, 181 from a curve evolution point of view and propose some modifications based on gradient flows relative to certain new featurebased Riemannian metrics. This leads to a novel snake paradigm in which the feature of interes ..."
Abstract - Cited by 239 (19 self) - Add to MetaCart
In this paper, we analyze the geometric active contour models discussed in [6, 181 from a curve evolution point of view and propose some modifications based on gradient flows relative to certain new featurebased Riemannian metrics. This leads to a novel snake paradigm in which the feature

An Active Contour Model For Mapping The Cortex

by Chris A. Davatzikos, Jerry L. Prince - IEEE TRANS. ON MEDICAL IMAGING , 1995
"... A new active contour model for finding and mapping the outer cortex in brain images is developed. A cross-section of the brain cortex is modeled as a ribbon, and a constant speed mapping of its spine is sought. A variational formulation, an associated force balance condition, and a numerical approac ..."
Abstract - Cited by 91 (15 self) - Add to MetaCart
A new active contour model for finding and mapping the outer cortex in brain images is developed. A cross-section of the brain cortex is modeled as a ribbon, and a constant speed mapping of its spine is sought. A variational formulation, an associated force balance condition, and a numerical

Fast Implicit Active Contour Models

by Gerald Kühne, Joachim Weickert, Markus Beier, Wolfgang Effelsberg - Pattern Recognition, Lecture Notes in Computer Science , 2002
"... Implicit active contour models are widely used in image processing and computer vision tasks. Most implementations, however, are based on explicit updating schemes and are therefore of limited computational efficiency. In this paper, we present fast algorithms based on the semi-implicit additive ope ..."
Abstract - Cited by 15 (2 self) - Add to MetaCart
Implicit active contour models are widely used in image processing and computer vision tasks. Most implementations, however, are based on explicit updating schemes and are therefore of limited computational efficiency. In this paper, we present fast algorithms based on the semi-implicit additive

active contour model for mammographic

by Katsuhei Horita, Æ Takuji Iwase, Æ Tokiko Endo
"... contour extraction method based on a modified ..."
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contour extraction method based on a modified

Active Contour Models By

by Taein Lee , 2005
"... submitted to ..."
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submitted to

An Active Contour Model without Edges

by Tony Chan, Luminita Vese - Int. Conf. Scale-Space Theories in Computer Vision , 1999
"... In this paper, we propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah functional for segmentation and level sets. Our model can detect objects whose boundaries are not necessarily defined by gradient. ..."
Abstract - Cited by 103 (11 self) - Add to MetaCart
In this paper, we propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah functional for segmentation and level sets. Our model can detect objects whose boundaries are not necessarily defined by gradient.

MAC: Magnetostatic Active Contour Model

by Xianghua Xie, Majid Mirmehdi
"... Abstract—We propose an active contour model using an external force field that is based on magnetostatics and hypothesized magnetic interactions between the active contour and object boundaries. The major contribution of the method is that the interaction of its forces can greatly improve the active ..."
Abstract - Cited by 6 (2 self) - Add to MetaCart
Abstract—We propose an active contour model using an external force field that is based on magnetostatics and hypothesized magnetic interactions between the active contour and object boundaries. The major contribution of the method is that the interaction of its forces can greatly improve

Texture-Adaptice Active Contour Models

by Thomas Lehmann, Jörg Bredno, Klaus Spitzer - Lecture Notes in Computer Sciences , 2001
"... Unsupervised segmentation is a key challenge for automated quantification of medical images. Although a balloon model is able to detect arbitrarily shaped objects in images, it requires careful adjustment of parameters prior to segmentation. Based on global texture analyses, our method allows to set ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
, similarity measures for these features are applied to weight the linear combination of the prototype parameters. The method was tested on 81 synthetic images and applied to a set of 1616 heterogeneous radiographs. Setting the parameters of active contour models by the proposed method improves the acceptance
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