This paper considers the problem of modeling and extracting arbitrary deformable contours from noisy images. We propose a global contour model based on a stable and regenerative shape matrix, which is invariant and unique under rigid motions. Combined with Markov random field to model local deformations, this yields prior distribution that exerts influence over a global model while allowing for deformations. We then cast the problem of extraction into posterior estimation and show its equivalence to energy minimization of a generalized active contour model. We discuss pertinent issues in shape training, minimax regularization and initialization by generalized Hough transform. Finally, we present experimental results and compare its performance to rigid template matching.<>
Deformable contours: modeling and extraction
01.01.1994
600673 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Deformable Contours: Modeling and Extraction
British Library Conference Proceedings | 1994
|Velocity-Guided Tracking of Deformable Contours in Three Dimensional Space
British Library Online Contents | 2003
|British Library Online Contents | 2014
|British Library Online Contents | 2008
|