CAJ | 학술논문

运用各向异性 SUSAN滤波进行红外弱小目标检测时，考虑到仅依靠4个像素点所确定的边缘方向往往与实际边缘方向存在较大误差，导致滤波后的图像依然保留着较多的背景杂波而不利于弱小目标的检测，因此提出一种边缘方向优化方法，结合坐标变换尽可能多地利用局部图像的像素点来参与边缘方向的估值，并运用高斯-拉普拉斯算子自适应地选择最优化的边缘方向角，使其更贴近于实际边缘；然后将局部图像与中心像素的灰度差均值确定为各向异性SUSAN滤波算子的阈值。实验表明：本文算法具有更好的背景抑制能力，突出目标，较好地提升了红外目标信噪比增益，并有效避免虚假目标的产生，提高了单帧红外弱小目标的检测能力。
운용각향이성 SUSAN려파진행홍외약소목표검측시，고필도부의고4개상소점소학정적변연방향왕왕여실제변연방향존재교대오차，도치려파후적도상의연보류착교다적배경잡파이불리우약소목표적검측，인차제출일충변연방향우화방법，결합좌표변환진가능다지이용국부도상적상소점래삼여변연방향적고치，병운용고사-랍보랍사산자자괄응지선택최우화적변연방향각，사기경첩근우실제변연；연후장국부도상여중심상소적회도차균치학정위각향이성SUSAN려파산자적역치。실험표명：본문산법구유경호적배경억제능력，돌출목표，교호지제승료홍외목표신조비증익，병유효피면허가목표적산생，제고료단정홍외약소목표적검측능력。
When anisotropic SUSAN filtering is used to detect the infrared dim target , the edge’ s o-rientation obtained only with four pixels is quite different from the real edge ’s orientation , which causes the filtered image to preserve numerous rougha-nd-tumble infrared backgrounds and is disadvantageous to detect the dim target.Therefore, a method to optimize the edge ’ s orientation is given, which combines coordinate transformation so as to make full use of the pixels in part image to estimate the edge ’s orienta -tion, and the optimized edge ’ s orientation which is most accurate to the real edge ’ s orientation would be given adaptive in the use of LOG operator .Then the average gray difference between the part image and the pixel which is in the middle of the part image is certain as the threshold of the anisotropic SUSAN fil-tering .The experiments show that this algorithms has the better ability of restraining the infrared back -ground , highlighting the target, effectively improving the GSCR of the infrared image , as well as preferably avoiding the emergence of the illusive target , thus, it improves the ability to detect the infrared dim target in a single frame.