二维最大类间方差和遗传算法在红外图像分割中的应用

Application of Infaraed Image Segmentation Based on 2D Maximum between-Cluster Variance and Genetic Algorithm

为了改善红外图像的分割效果,将二维最大类间方差算法应用于红外图像分割,通过二维最大类间方差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,加快二维最大类间方差算法寻找阈值的速度,提高分割效率。

2D-OTSU algorithm is applied to infaraed image segmentation in order to improve the effect of infaraed image segmentation. Also,genetic algorithm is combined with 2D-OTSU to make calculation faster by GA＇s capcity of searching the best answer.