Title :
MAC: Magnetostatic Active Contour Model
Author :
Xie, Xianghua ; Mirmehdi, Majid
Author_Institution :
Univ. of Wales Swansea, Swansea
fDate :
4/1/2008 12:00:00 AM
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 contour in capturing complex geometries and dealing with difficult initializations, weak edges, and broken boundaries. The proposed method is shown to achieve significant improvements when compared against six well-known and state-of-the-art shape recovery methods, including the geodesic snake, the generalized version of gradient vector flow (GVF) snake, the combined geodesic and GVF snake, and the charged particle model.
Keywords :
computational geometry; differential geometry; edge detection; image representation; object detection; MAC; charged particle model; contour representation; external force field; geodesic snake; gradient vector flow snake; hypothesized magnetic interaction; magnetostatic active contour model; magnetostatic force; object boundary; shape recovery method; Active contours; deformable model; magnetostatic forces; object segmentation; Algorithms; Artificial Intelligence; Computer Simulation; Electromagnetic Fields; Electrostatics; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Theoretical; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2007.70737