遗传算法在最大熵多阈值分割的应用研究

Study on Maximum Entropy Multilevel Threshold Segmentation Based on Genetic Algorithm

图像分割最大熵多阈值算法存在计算复杂度高的弊端,目前针对这个问题所提出的各类算法效果都不太理想.依据遗传算法种群多样性好、收敛速度快的特点,将遗传算法应用到图像分割中,提出了一种基于最大熵多阈值分割技术的图像分割算法.仿真实验表明,新算法不仅能够对图像进行准确的分割,而且运行时间明显少于传统的分割算法.

With high computing complexity,traditional maximum entropy multilevel threshold method is a defective method in image segmentation,although many algorithms have been proposed to solve this problem.Considering genetic algorithm s ability of retaining the diversity of population and converging rapidly,this paper applies the genetic algorithm to image segmentation,and presents an image segmentation algorithm based on the maximum entropy multilevel threshold method.Simulations show that this method can efficien...