基于边缘约束的红外目标图像松弛分割技术

Segmentation of FLIR Images with Edge Constraint

本文提出了一种基于边缘约束的、能克服门限面技术和简单的松弛技术不足的红外目标图像松弛分割算法 ,该方法在确定显著边缘象素的基础上 ,建立了一个评估在不同初始概率下松弛分割结果的准则函数 .通过自动调整初始概率 ,获得该准则函数的最优或次优解 ,从而得到满意的分割结果 .文中给出了关于真实红外目标图像的分割结果 .

A relaxation segmentation algorithm of forward-looking infrared (FLIR) images with edge constraint is presented.An evaluation criterion based on distinct edge pixels is used to examine the segmentation results by the relaxation segmentation algorithm under different initial assignment of probabilities.Thus the good segmentation result can be achieved by automatically adapting initial assignment of probabilities to reach the optimal or suboptimal solution of the evaluation criterion.Experimental results with real FLIR images are given.