Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

28

ICIP
2006
IEEE

favoriteEmaildiscussreport

821views Image Processing» more ICIP 2006»

Vector Field Convolution for Image Segmentation using Snakes

14 years 6 months ago

Vector Field Convolution for Image Segmentation using Snakes

Download viva.ee.virginia.edu

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.

Bing Li, Scott T. Acton

Real-time Traffic

Gradient Vector Flow | ICIP 2006 | Image Processing | Limited Capture Range | Snake External Force | Typical Roadblocks | Vector Field Convolution |

claim paper

Related Content

» Segmentation of Edge Preserving Gradient Vector Flow An Approach Toward Automatically Init...

» Normalized Gradient Vector Diffusion and Image Segmentation

» Image Segmentation Using Gradient Vector Diffusion and Region Merging

» Segmentation of the Liver from Abdominal CT Using Markov Random Field Model and GVF Snakes

» Gradient Vector Flow A New External Force for Snakes

» Improved Snake Model for Fast Image Segmentation

» Snakes Shapes and Gradient vector flow

» Snakes Shapes and Gradient vector flow

» Simulated Static Electric Field SSEF Snake for Deformable Models

Post Info
More Details (n/a)

Added	22 Oct 2009
Updated	22 Oct 2009
Type	Conference
Year	2006
Where	ICIP
Authors	Bing Li, Scott T. Acton

Comments (0)