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