DocumentCode :
2521446
Title :
Gradient vector flow: a new external force for snakes
Author :
Xu, Chenyang ; Prince, Jerry L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
fYear :
1997
fDate :
17-19 Jun 1997
Firstpage :
66
Lastpage :
71
Abstract :
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initialization and poor convergence to concave boundaries, however, have limited their utility. This paper develops a new external force for active contours, largely solving both problems. This external force, which we call gradient vector flow (GVF) is computed as a diffusion of the gradient vectors of a gray-level or binary edge map derived from the image. The resultant field has a large capture range and forces active contours into concave regions. Examples on simulated images and one real image are presented
Keywords :
computer vision; image processing; active contours; binary edge map; computer vision; external force; gradient vector flow; image processing; initialization; object boundaries; real image; simulated images; snakes; Active contours; Application software; Computational modeling; Convergence; Image edge detection; Image processing; Image segmentation; Shape; Tracking; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
ISSN :
1063-6919
Print_ISBN :
0-8186-7822-4
Type :
conf
DOI :
10.1109/CVPR.1997.609299
Filename :
609299
Link To Document :
بازگشت