| Paper Details: | Downloads: 352 |
| Serial Number: | P1150547102
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| Title: | Detecting Critical Points of Skeletons Using Triangle Decomposition of Gradient Vector Flow Field
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| Authors: | Dongqing Chen and Aly A. Farag
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| Abstract: | Skeletons of an object have a variety of applications,
such as automatic path generation, shape matching,
identification, and classification. In this paper, we introduce
a method to detect the critical points of skeletons,
then skeletons of an object can be generated by
linking the detected critical points. The method is
based on concepts from 2-D phase plane analysis of
the linear Gradient Vector Flow (GVF) field, which is
generated from the original image. The critical points
on the skeleton are automatically found by searching
each triangle generated from decomposition of the
whole field. The critical points with small magnitudes
in the valley areas of the GVF are located by
an affine-invariant detector. Some preliminary results
are shown to demonstrate the performance of the proposed
method.
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| Keywords: | Skeleton Extraction, Gradient Vector
Flow, Vector Field Topology, Triangle Decomposition,
Poincare Phase Plane.
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| Journal/Conference: | ICGST Conference on Graphics, Vision and Image Processing, GVIP-05
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| Volume: |
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| Issue: |
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| Submission Date: | 7/1/2005 12:00:00 AM
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| Review Date: | 9/1/2005 12:00:00 AM
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| Publishing Date: | 12/19/2005 12:00:00 AM
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| Article Downloads: | 352
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| Download: |
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