基于二维OTSU和遗传算法的红外图像分割方法

Infrared Image Segmentation Method Based on 2D Maximum Between-cluster Variance and Genetic Algorithm

为了改善红外图像的分割效果,将二维OTSU算法应用于红外图像分割,通过二维OTSU算法 选取阈值将红外图像分为目标和背景,并结合遗传算法,利用遗传算法搜索最优解的能力,加快二维 OTSU算法寻找阈值的速度,提高分割效率。实验结果表明,该方法分割效果好,分割速度快,是一 种可行的红外图像分割方法。

In this paper, 2D MBV algorithm is applied to infrared image segmentation in order to improve the effect of it. Also, genetic algorithm is combined with 2D MBV to make the calculation faster by it's capacity of searching the best answer. The experiment results show that the performance of this method is quite good, this method is practicable.