CAJ | 학술논문

针对边缘方向误差较大导致各向异性 SUSAN 算法背景抑制能力降低的问题，提出了一种高精度边缘方向求解算法来确定实际边缘方向；并引入独立强度模型来确定短轴的尺度以实现滤波器长、短轴自适应地确定。实验表明：高精度边缘方向求解算法的引入能显著提升红外背景重建的精确度，从而提高了算法的背景抑制能力，经过该算法滤波后的图像其信噪比、检测率都获得显著提升，虚警率明显降低，能有效提高系统的单帧红外弱小目标的检测能力。
침대변연방향오차교대도치각향이성 SUSAN 산법배경억제능력강저적문제，제출료일충고정도변연방향구해산법래학정실제변연방향；병인입독립강도모형래학정단축적척도이실현려파기장、단축자괄응지학정。실험표명：고정도변연방향구해산법적인입능현저제승홍외배경중건적정학도，종이제고료산법적배경억제능력，경과해산법려파후적도상기신조비、검측솔도획득현저제승，허경솔명현강저，능유효제고계통적단정홍외약소목표적검측능력。
The ability to restrain infrared background would decrease if the edge orientation is quite different from the real edge orientation. Aiming at solving this problem, a method of highly precise edge orientation searching algorithm is proposed to ascertain the real edge orientation. An Intensity-Dependent-Spread model is also introduced to ascertain the scale of V-axes so that the U-axes and V-axes of the filtering can be ascertained adaptively. The experiments show that the highly precise edge orientation searching algorithm can remarkably improve the precision of rebuilding infrared background, so the ability to restrain infrared background can be improved. The SCR and the detection rate will be remarkably improved after processing by our algorithms, and meanwhile the false alarm rate will remarkably decrease. So the algorithm can effectively improve the ability of the system to detect the infrared dim target in a single frame.