Abstract
To analyze the perspective navigation image influenced by noise effectively, the dynamic image segmentation algorithm is proposed based on the two-dimensional genetic algorithm and Snake model. In this new algorithm, firstly, Greedy algorithm is taken as the minimum optimized strategy of Snake energy function. Secondly, the scrambling initial population is realized with binary encoding system. Finally, the probability selection is realized by fitness function, which is constructed by cost function. The optimized Adaboost algorithm is used as judging criterion for Genetic algorithm. The reconstructed 3D intracardiac catheter model is displayed with the combination of surface rendering and volume rendering. The results show that the new algorithm has superior performance for noisy images through the experiments compared with other algorithms.
| Original language | English |
|---|---|
| Pages (from-to) | 797-802 |
| Number of pages | 6 |
| Journal | Information |
| Volume | 14 |
| Issue number | 3 |
| State | Published - Mar 2011 |
| Externally published | Yes |
Keywords
- Genetic algorithm
- Image segmentation
- Perspective navigation
- Snake model