CAJ | 학술논문

针对发生较大角度旋转及平移时图像配准精度不高，图像配准对局部形变和光照较为敏感的问题，本文提出了基于直线和SURF特征的图像分区域配准算法。首先利用Hough变换实现图像的粗配准；然后对图像进行分区，在子区域内利用SURF算子求取变换模型参数，完成图像的配准。实验表明该方法可用于红外与可见光图像的配准，与传统方法相比，本方法能够在图像存在大角度旋转和平移时实现高精度配准，且在图像存在局部形变及光照不均时精度较好。
침대발생교대각도선전급평이시도상배준정도불고，도상배준대국부형변화광조교위민감적문제，본문제출료기우직선화SURF특정적도상분구역배준산법。수선이용Hough변환실현도상적조배준；연후대도상진행분구，재자구역내이용SURF산자구취변환모형삼수，완성도상적배준。실험표명해방법가용우홍외여가견광도상적배준，여전통방법상비，본방법능구재도상존재대각도선전화평이시실현고정도배준，차재도상존재국부형변급광조불균시정도교호。
An algorithm of image registration based on Hough transform and SURF features is proposed, to solve the problem that the accuracy is low in image registration when large angle rotation and translation occur, and the problem that traditional method is sensitive about local deformation and uneven illumination. Firstly, Hough transform is used to extract straight line features to estimate the rotation and translation parameters to achieve a rough image registration. Then, the image is divided into a few parts, and the SURF is used to do the precisely match sub-regionally. Finally, matching parameters are calculated and the registration is accomplished. Experiments show that the method can be used in the registration of IR and VI images, compared with traditional methods, and this method can achieve higher accuracy in the presence of a large angle rotation and translation and get a better result when localized deformation or uneven illumination is occurring.