CAJ | 학술논문

针对精确制导武器系统中，利用传统方法获取的融合图像使得红外目标模糊、识别率低、定位性差及不能继承可见光图像色彩特性而出现光谱扭曲与失真的现象，提出了一种基于区域分割和提升小波变换的红外与可见光图像融合方法。首先结合区域生长与边缘提取图像分割法，将红外图像背景区域与目标区域分开；其次采用像素邻域能量取大法，将红外目标区域映射到可见光背景中；最后将上步得到的融合图像与原图像进行低频加权，高频平均梯度的提升小波融合变换，防止因图像分割所形成的拼接错误而导致重要信息丢失现象。实验结果表明：融合后的图像，目标凸显，背景自然，能够达到准确定位与快速识别的目的，并对隐藏目标的检测有着重要的指导意义。
침대정학제도무기계통중，이용전통방법획취적융합도상사득홍외목표모호、식별솔저、정위성차급불능계승가견광도상색채특성이출현광보뉴곡여실진적현상，제출료일충기우구역분할화제승소파변환적홍외여가견광도상융합방법。수선결합구역생장여변연제취도상분할법，장홍외도상배경구역여목표구역분개；기차채용상소린역능량취대법，장홍외목표구역영사도가견광배경중；최후장상보득도적융합도상여원도상진행저빈가권，고빈평균제도적제승소파융합변환，방지인도상분할소형성적병접착오이도치중요신식주실현상。실험결과표명：융합후적도상，목표철현，배경자연，능구체도준학정위여쾌속식별적목적，병대은장목표적검측유착중요적지도의의。
As regards precision-guided weapons systems, the fused images obtained by traditional methods give fuzzy detection , low recognition rate and poor positioning for infrared target;meanwhile they are unable to highlight the visible color characteristics;thus spectral distortion results. We present a fusion method of region-based segmen-tation and lifting wavelet transform for infrared and visible image. We do three things: (1) making the infrared background and destination areas separate with image segmentation methods of regional growth combined with edge detection;(2) using the maximum energy around pixel neighborhood to make infrared target mapped to the visible background;(3) for the fused image acquired by the step above-mentioned steps and the original images, utilizing the lifting wavelet transform about the weighted algorithm for low frequency and the average gradient for high fre-quency, thus avoiding important information being missed because of segmentation error. The experimental results and their analysis show preliminarily that:the fused image can highlight target, make background natural, achieve the purpose of accurate positioning and rapid identification, thus having an important indication significance for de-tecting the hidden targets.