一种基于方差标记的形态学红外小目标检测算法

形态学算法在红外小目标检测上具有良好的性能,先对该算法的处理过程进行了分析,结合实际拍摄的红外小目标图像研究发现,算法在处理过程中存在很多不必要的计算,因此从提高算法的实时性出发,提出了一种基于方差标记的形态学方法.该方法首先计算图像每个像素的局部方差,然后由方差根据阈值判断条件对图像进行标记,标记完后再通过形态学算法对标记的部分进行Top-hat运算.理论分析和仿真实验表明,该方法能够极大的提高形态学的检测效率,而且对算法的检测性能有一定的提高.

A Morphology Algorithm for IR Dim Target Detection Based on Variance-Mark

The morphology algorithm has proved to have good performance in IR small target detection,an analysis for the process of the algorithm was done firstly,and combined with the real IR small target images,the factor that much unnecessary calculation in the process of the algorithm was found.So,aimed at promoting the real-time demand,a morphology method that based on variance-mark was proposed.The local variance of every pixel in the image was firstly calculated according to this method,and then the image was marked by the variance and the threshold qualification.After marking the image,the Top-hat operation was carried on the marked pixels by morphology algorithm.The theory analysis and the simulation demonstrated that the detection efficiency was promoted remarkably through the proposed algorithm;furthermore,the detection performance of the algorithm was also improved.