DocumentCode
949645
Title
MAC: Magnetostatic Active Contour Model
Author
Xie, Xianghua ; Mirmehdi, Majid
Author_Institution
Univ. of Wales Swansea, Swansea
Volume
30
Issue
4
fYear
2008
fDate
4/1/2008 12:00:00 AM
Firstpage
632
Lastpage
646
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;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2007.70737
Filename
4359352
Link To Document