Three-dimensional Otsu’s method for medical image segmentation based on a simulated annealing particle swarm optimization algorithm
- VernacularTitle:基于SAPSO优化三维Otsu方法的医学图像分割算法(英文)
- Author:
Yang BAI
- Publication Type:Journal Article
- From:
Chinese Journal of Tissue Engineering Research
2007;0(22):-
- CountryChina
- Language:Chinese
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Abstract:
Medical image has rich content, various features, and multiple dimensions. Therefore, it is more difficult to segment medical image compared with general image. Aiming at this, a three-dimensional Otsu’s method based on an improved particle swarm optimization (PSO) algorithm has been purposed for medical image segmentation. Three-dimensional Otsu’s method requires much computation. PSO algorithm can be used to search threshold vectors. Each particle represents a feasible threshold vec- tor. Thus, the optimal threshold can be acquired by the cooperation of particle swarm. Because the PSO algorithm easily sinks into local optimization, so a simulated annealing particle swarm optimization (SAPSO) algorithm has been purposed. The three-dimensional Otsu’s method based on SAPSO can rapidly and exactly get the entire optimal results. Simulation experi- ment results demonstrated that this method could acquire ideal results with less computation.
