Active contour model - Wikipedia

Active contour model, also called snakes, is a framework in computer vision introduced by Michael Kass, Andrew Witkin, and Demetri Terzopoulos[1] for delineating an object outline from a possibly noisy 2D image. The snakes model is popular in computer vision, and snakes are widely used in applications like object tracking, shape recognition, segmentation, edge detection and stereo matching. A snake is an energy minimizing, deformable spline influenced by constraint and image forces that pull it towards object contours and internal forces that resist deformation. Snakes may be understood as a special case of the general technique of matching a deformable model to an image by means of energy minimization.[1] In two dimensions, the active shape model represents a discrete version of this approach, taking advantage of the point distribution model to restrict the shape range to an explicit domain learnt from a training set. Snakes do not solve the entire problem of finding contours in image

Active contour model - Wikipedia Jump to content From Wikipedia, the free encyclopedia Computer vision framework Active contour model , also called snakes , is a framework in computer vision introduced by Michael Kass , Andrew Witkin , and Demetri Terzopoulos [ 1 ] for delineating an object outline from a possibly noisy 2D image . The snakes model is popular in computer vision, and snakes are widely used in applications like object tracking, shape recognition, segmentation , edge detection and stereo matching. A snake is an energy minimizing, deformable spline influenced by constraint

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