PSO-OTSU算法在图像分割中的应用

Application of PSO-OTSU Algorithm in Image Segmentation

针对最大类间方差(OTSU)算法运算复杂、耗时等缺点,对PSO-OTSU算法在图像分割中的应用展开研究。将最大类间方差作为适应度函数,按照PSO算法进行速度和位置的更新,完成最优搜索获取最佳分割阈值。实验结果表明,与传统OTSU法对比,PSO-OTSU算法在获得较好分割效果的同时,具备降低运算复杂度、缩短分割时间的优势。

In order to overcome the disadvantages of OTSU algorithm in image segmentation, such as complex computation and time consuming, the improved algorithm is studied in this paper, which integrates the good qualities of PSO and OTSU. OTSU is used as the fitness function. PSO algorithm is introduced to get the optimal threshold for image segmentation. The experiment results show that the novel algorithm is efficient for reducing the computation complexity and segmentation time.