• 多媒体计算与计算机仿真 •

### 非线性约束下的准单应变换图像拼接算法

1. 武汉理工大学 理学院, 武汉 430070
• 收稿日期:2020-10-21 修回日期:2020-12-11 出版日期:2021-08-10 发布日期:2021-01-27
• 通讯作者: 王怀
• 作者简介:王怀(1995-),男,湖北荆州人,硕士研究生,主要研究方向:图像拼接;王展青(1965-),男,湖北咸宁人,教授,博士,主要研究方向:数字图像处理、模式识别、信息计算。

### Nonlinear constraint based quasi-homography warps for image stitching

1. School of Science, Wuhan University of Technology, Wuhan Hubei 430070, China
• Received:2020-10-21 Revised:2020-12-11 Online:2021-08-10 Published:2021-01-27

Abstract: In order to solve the problem of longitudinal projection distortion in non-overlapping regions of images caused by the quasi-homography warp algorithm for image stitching, an image stitching algorithm based on nonlinear constraint was proposed. Firstly, the nonlinear constraint was used to smoothly transit the image regions around the dividing line. Then, the linear equation of quasi-homography warp was replaced by a parabolic equation. Finally, the mesh-based method was used to improve the speed of image texture mapping and the method based on optimal stitching line was used to fuse the images. For images of 1 200 pixel×1 600 pixel, the time consumption range of texture mapping by the proposed algorithm is 4 s to 7 s, and the proposed algorithm has the average deviation degree of diagonal structure is 11 to 31. Compared with the quasi-homography warp algorithm for image stitching, the proposed algorithm has the time consumption of texture mapping reduced by 55% to 67%, and the average deviation degree of diagonal structure reduced by 36% to 62%. It can be seen that the proposed algorithm not only corrects the oblique diagonal structure, but also improves the efficiency of image stitching. Experimental results show that the proposed algorithm has better results in improving the visual effect of stitched images.