CAJ | 학술논문

针对SURF描述子仅利用特征点的局部邻域信息而对于局部场景发生变化的图像容易产生误匹配的现象，提出了图像多尺度配准的小波域SURF算法。该方法对图像进行小波分解，利用低分辨率上得到的变换参数剔除高分辨率上的错误匹配，得到精确匹配点对，对图像进行配准。实验结果表明，该方法能有效地剔除误匹配点，提高图像配准的精度。
침대SURF묘술자부이용특정점적국부린역신식이대우국부장경발생변화적도상용역산생오필배적현상，제출료도상다척도배준적소파역SURF산법。해방법대도상진행소파분해，이용저분변솔상득도적변환삼수척제고분변솔상적착오필배，득도정학필배점대，대도상진행배준。실험결과표명，해방법능유효지척제오필배점，제고도상배준적정도。
A method to correct Speed-Up Robust Features(SURF)mismatching combining wavelet transform with SURF is proposed to solve the mismatching in the registration of the images broken in the locate structure. This paper applies wavelet decomposition to the images. It utilizes the transformation parameters derived from images of lower resolution, and a number of mismatching points of higher resolution are eliminated. Then images are registrated using the exact matching points. The experimental results on optical-remote sensing images and SAR images show that the proposed algorithm can eliminate the mismatching points effectively and enhance the registration accuracy.