LI Wei, HU Xiao-hui, WANG Hong-chuang. FCM image segmentation method based on improved BBO algorithm[J]. 2018, (10): 57-59. DOI: 10.13873/j.1000-9787(2018)10-0057-03.
基于改进BBO算法的FCM图像分割方法
摘要
针对模糊C均值(FCM)算法进行图像分割时初始聚类中心选取困难的问题
提出了一种基于改进的生物地理学(BBO)优化算法的FCM图像分割方法
提高最优解的全局搜索性能。不同于传统的BBO算法
改进的BBO算法使用新的迁移策略和变异算子。为了评估所提出的方法
同时进行了基于遗传算法以及标准BBO算法的FCM图像分割实验
实验结果表明:相对于其他2种算法
提出的方法具有良好的收敛稳定性
可以有效缩短迭代时间
提高分割准确性。
Abstract
Aiming at the difficulty of selecting initial cluster centers in image segmentation based on fuzzy C-mean( FCM) algorithm
a FCM image segmentation method based on improved biogeography optimization( BBO)algorithm is proposed. The improved BBO algorithm is used to improve the global search performance of the optimal solution. Unlike the traditional BBO algorithm
the improved BBO algorithm uses new migration strategy and mutation operator. To evaluate the method
the FCM image segmentation experiments based on the genetic algorithm and the standard BBO algorithm is also carried out
when the proposed method is used to segment typical images. Experimental results show that the proposed method has good convergence stability
can effectively shorten the iteration time and improve the segmentation accuracy.