Abstract
In this paper, we presented a structure-adaptive B-snake model for segmenting the complex structures in medical images. A strategy of automatic control-point insertion, adaptive to the structure of the studied object, has been proposed. Furthermore, a method of minimum mean square energy (MMSE) is developed to iteratively estimate the position of those control points in the B-snake model. By applying the proposed structure-adaptive B-snake model to medical images, we show that our method is robust and accurate in object contour extraction.
| Original language | English |
|---|---|
| Pages | 769-772 |
| Number of pages | 4 |
| Publication status | Published - 2001 |
| Externally published | Yes |
| Event | IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece Duration: 2001 Oct 7 → 2001 Oct 10 |
Other
| Other | IEEE International Conference on Image Processing (ICIP) |
|---|---|
| Country/Territory | Greece |
| City | Thessaloniki |
| Period | 01/10/7 → 01/10/10 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering