ROI Detection Algorithm for Small Infrared Target in nfrared Image Based on Hypothesis Testing
基于假设检验的红外弱小目标感兴趣区域提取算法

According to the basic principle of hypothesis testing, an algorithm for detecting the region of interest (ROI) of a small infrared target in an image is proposed. In the method, the ROI of a small infrared target in an image is firstly extracted by using the minimum error probability criterion and then target extraction and analysis are carried out in those regions of interest. The experimental result shows that this method overcomes the disadvantages such as large computation and difficult analysis in traditional methods and is very suitable for the high performance detection of small infrared targets in infrared images.