CAJ | 학술논문

双波段红外图像的小目标融合检测是红外自动寻的系统的关键技术和研究热点之一。为了建立有效的融合检测结构，对基于布尔逻辑的融合检测方法进行了分析，并从小目标红外成像原理出发，提出了一种基于“与”逻辑和局部灰度的混合融合检测算法。首先，分别对单波段的红外图像进行阈值分割；其次，对两个波段的检测结果进行“与”融合；再次，对“与”融合之外的目标点进行局部灰度判别，进一步提高检测概率；最后，根据融合结果调节第一步中局部检测器的分割阈值，以优化局部检测器。实验仿真结果表明，该算法有效地提高了双波段红外的检测能力，且算法结构简单、运算速度快，具有较强的实用性。
쌍파단홍외도상적소목표융합검측시홍외자동심적계통적관건기술화연구열점지일。위료건립유효적융합검측결구，대기우포이라집적융합검측방법진행료분석，병종소목표홍외성상원리출발，제출료일충기우“여”라집화국부회도적혼합융합검측산법。수선，분별대단파단적홍외도상진행역치분할；기차，대량개파단적검측결과진행“여”융합；재차，대“여”융합지외적목표점진행국부회도판별，진일보제고검측개솔；최후，근거융합결과조절제일보중국부검측기적분할역치，이우화국부검측기。실험방진결과표명，해산법유효지제고료쌍파단홍외적검측능력，차산법결구간단、운산속도쾌，구유교강적실용성。
Dim target fusion detection in dual-band IR image is one of the key technology and research hotspot of infrared homing system. In order to establish an effective fusion-detection structure, the Boolean logic rules based fusion algorithm was analyzed. According to the principle of dim infrared target imaging, a hybrid fusion detection algorithm with "AND" logic and local gray was proposed based on the full use of local gray feature of dim target. First of all, infrared image of each band was segmented. Secondly, the detection results of two bands were fused using "AND" logic. Thirdly, to improve the probability of detection, the point beyond "AND" logic was determined using local gray feature. Finally, in order to optimize the local detector, the segmentation threshold in the first step was adjusted based on the fusion results. Simulation results show that the algorithm can improve the dual-band infrared detection capabilities effectively. Further, the algorithm features simple architecture and high computation speed, which makes it highly practical.