Back to Search
Start Over
An eSnake model for medical image segmentation*
- Source :
- Progress in Natural Science. 15:424-429
- Publication Year :
- 2005
- Publisher :
- Informa UK Limited, 2005.
-
Abstract
- A novel scheme of external force for detecting the object boundary of medical image based on Snakes (active contours) is introduced in the paper. In our new method, an electrostatic field on a template plane above the original image plane is designed to form the map of the external force. Compared with the method of Gradient Vector Flow (GVF), our approach has clear physical meanings. It has stronger ability to conform to boundary concavities, is simple to implement, and reliable for shape segmenting. Additionally, our method has larger capture range for the external force and is useful for medical image preprocessing in various applications. Finally, by adding the balloon force to the electrostatic field model, our Snake is able to represent long tube-like shapes or shapes with significant protrusions or bifurcations, and it has the specialty to prevent Snake leaking from large gaps on image edge by using a two-stage segmentation technique introduced in this paper. The test of our models proves that our methods are robust, precise in medical image segmentation.
- Subjects :
- Vector flow
business.industry
Segmentation-based object categorization
Boundary (topology)
Scale-space segmentation
Image segmentation
Image plane
Image texture
Computer Science::Computer Vision and Pattern Recognition
General Materials Science
Segmentation
Computer vision
Artificial intelligence
business
Mathematics
Subjects
Details
- ISSN :
- 17455391 and 10020071
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Progress in Natural Science
- Accession number :
- edsair.doi...........fa9a10f7f6216b1df22837548be2985d