DocumentCode :
1376049
Title :
Morphing active contours
Author :
Bertalmío, Marcelo ; Sapiro, Guillermo ; Randall, Gregory
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume :
22
Issue :
7
fYear :
2000
fDate :
7/1/2000 12:00:00 AM
Firstpage :
733
Lastpage :
737
Abstract :
A method for deforming curves in a given image to a desired position in a second image is introduced. The algorithm is based on deforming the first image toward the second one via a partial differential equation (PDE), while tracking the deformation of the curves of interest in the first image with an additional, coupled PDE; both the images and the curves on the frame/slices of interest are used for tracking. The technique can be applied to object tracking and sequential segmentation. The topology of the deforming curve can change without any special topology handling procedures added to the scheme. This permits, for example, the automatic tracking of scenes where, due to occlusions, the topology of the objects of interest changes from frame to frame. In addition, this work introduces the concept of projecting velocities to obtain systems of coupled PDEs for image analysis applications. We show examples for object tracking and segmentation of electronic microscopy
Keywords :
image morphing; image segmentation; partial differential equations; target tracking; topology; active contour morphing; image analysis; image curve deformation; object tracking; partial differential equation; sequential segmentation; topology; Active contours; Circuit topology; Differential equations; Electron microscopy; Image segmentation; Image sequence analysis; Layout; Neurons; Partial differential equations; Video sequences;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.865191
Filename :
865191
Link To Document :
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