Title :
Vector Field Convolution for Image Segmentation using Snakes
Author :
Li, Bing ; Acton, Scott T.
Author_Institution :
Virginia Univ., Charlottesville, VA, USA
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;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312619