Title :
Simulating the grassfire transform using an active contour model
Author :
Leymarie, FrCédCéric ; Levine, Martin D.
Author_Institution :
McGill Univ., Montreal, Que., Canada
fDate :
1/1/1992 12:00:00 AM
Abstract :
A method for shape description of planar objects that integrates both region and boundary features is presented. The method is an implementation of a 2D dynamic grassfire that relies on a distance surface on which elastic contours minimize an energy function. The method is based on an active contour model. Numerous implementation aspects of the shape description method were optimized. A Euclidean metric was used for optimal accuracy, and the active contour model permits bypassing some of the discretization limitations inherent in using a digital grid. Noise filtering was performed on the basis of both contour feature measures and region measures, that is, curvature extremum significance and ridge support, respectively, to obtain robust shape descriptors. Other improvements and variations of the algorithmic implementation are proposed
Keywords :
filtering and prediction theory; pattern recognition; picture processing; Euclidean metric; active contour model; boundary features; curvature extremum significance; digital grid; elastic contours; grassfire transform simulation; pattern recognition; region features; shape description; Active contours; Active shape model; Amorphous materials; Biological information theory; Councils; Data mining; Deformable models; Feature extraction; Fires; Skeleton;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on