Title :
Affine-invariant geometric shape priors for region-based active contours
Author :
Foulonneau, A. ; Charbonnier, P. ; Heitz, F.
Author_Institution :
Lab. Regional des Ponts et Chaussees de Strasbourg
Abstract :
We present a new way of constraining the evolution of a region-based active contour with respect to a reference shape. Minimizing a shape prior, defined as a distance between shape descriptors based on the Legendre moments of the characteristic function, leads to a geometric flow that can be used with benefits in a two-class segmentation application. The shape model includes intrinsic invariance with regard to pose and affine deformations
Keywords :
geometry; image segmentation; minimisation; Legendre moments; affine deformation; affine-invariant geometric shape priors; characteristic function; geometric flow; intrinsic invariance; pose deformation; reference shape; region-based active contours; shape descriptors; shape model; shape prior minimization; two-class segmentation application; Active contours; Active noise reduction; Active shape model; Deformable models; Equations; Image segmentation; Noise robustness; Shape measurement; Solid modeling; Topology; Legendre moments; Segmentation; active contours; affine invariance.; region-based approach; shape constraint; shape derivative; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Pattern Recognition, Automated;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.154
