DocumentCode :
1569376
Title :
Vector Field Convolution for Image Segmentation using Snakes
Author :
Li, Bing ; Acton, Scott T.
Author_Institution :
Virginia Univ., Charlottesville, VA, USA
fYear :
2006
Firstpage :
1637
Lastpage :
1640
Abstract :
Snakes, or active contours, have been widely used in image processing applications. Typical roadblocks to consistent performance include limited capture range, noise sensitivity, and poor convergence to concavities. This paper proposes a new design for the snake external force, called vector field convolution (VFC), to address these problems. Qualitative and quantitative comparisons with the gradient vector flow (GVF) external force are presented in this paper to show the advantages of this innovation.
Keywords :
convolution; image segmentation; GVF external force; VFC; active contours; gradient vector flow; image processing; image segmentation; snakes; vector field convolution; Active contours; Computational efficiency; Convergence; Convolution; Equations; Image processing; Image segmentation; Kernel; Noise reduction; Technological innovation; Image processing; image segmentation; image shape analysis; object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312619
Filename :
4106860
Link To Document :
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