Ostu Dual-threshold Image Segmentation Algorithm Based on Bacterial Chemotaxis
Huang Kaib · Jisuanji gongcheng · 2011
Single-threshold segmentation methods are not suit for complex images,for such complex images,dual-threshold or multi-threshold are better choices,while they are needed to search for the every candidate position in the searching space,which make them require significantly more computation time and can not satisfy the demand of real-time applications.For the reason,this paper proposes an optimization image segmentation method using dual-threshold based on bacterial chemotaxis.Simulation results show that the algorithm is useful in reducing the time complexity and can get comparable segmentation thresholds with the traditional exhaustive searching algorithms.