CAJ | 학술논문

针对多视频源图像的拼接问题，提出基于多尺度分析的图像配准及融合方法。在配准方面，弥补传统的基于 Harris 角点的配准方法对尺度变化不稳定的缺点，使其具有多尺度特性，提取的角点更加稳定精确。在融合方面，采用基于多尺度多分辨率分析的图像融合方法，克服传统空间域图像融合算法在频域上的不足，具有在空间域和频率域的局部化能力，并提供人眼视觉对其比较敏感的强对比度信息。实验结果表明，相比较传统方法，该方法所提取角点更精确、融合效果更好。
침대다시빈원도상적병접문제，제출기우다척도분석적도상배준급융합방법。재배준방면，미보전통적기우 Harris 각점적배준방법대척도변화불은정적결점，사기구유다척도특성，제취적각점경가은정정학。재융합방면，채용기우다척도다분변솔분석적도상융합방법，극복전통공간역도상융합산법재빈역상적불족，구유재공간역화빈솔역적국부화능력，병제공인안시각대기비교민감적강대비도신식。실험결과표명，상비교전통방법，해방법소제취각점경정학、융합효과경호。
An image registration and fusion method based on multi-scale analysis is proposed, which focuses on multi-source video mosaic. In terms of registration, the method compensates for the lack of traditional registration method, which is unstable on scale changes, and makes the corner detection much more stable and accurate. In terms of fusion, in order to overcome the shortcomings of traditional fusion algorithm in frequency domain, multi-resolution image fusion method based on multi-scale analysis is adopted, which not only has localized capacity in both space domain and frequency domain, but also provides more sensitive and strong degree information for human visual. The feasibility of the algorithm is verified by experimental simulation. The result shows the extracted corner is more accurate and fusion effect is more ideal compared with traditional methods.