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作者:

Huang, Zhangqin (Huang, Zhangqin.) (学者:黄樟钦) | Mu, Zhao (Mu, Zhao.) | Cen, Chen (Cen, Chen.) | Gao, Han (Gao, Han.)

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摘要:

Aiming at the time-consuming problem of image registration in video mosaic, a combined algorithm based on the BRISK and GMS is designed and optimized. Based on the fast feature extraction feature of the BRISK, the grid image method is used to divide the overlap region image to make the feature point distribution more uniform, thus reducing the number of feature points that need to be operated. In the feature matching stage after feature extraction, the GMS is used to eliminate the mismatching pair, and improves the matching accuracy according to the two-way matching strategy. In order to make the image fusion more natural and smooth, this paper designs a regionalized feather blending weighted fusion algorithm. To reduce the error in solving the overlapping area, the fusion area is constructed and divided into regions. The best suture method is used to get the seam. The gradual in and out weighting algorithm is used in different regions to achieve image fusion, so as to obtain the panoramic image with higher fusion quality. Finally, a complete prototype of the panoramic video stitching system is designed. The feasibility and practicability of the system scheme are verified by experiments which show that, compared with the traditional video splicing technology, this algorithm ensures the real-time performance of video splicing while eliminating the ghosting and seaming problems that occur during splicing. © 2020, The Editorial Board of Journal of Xidian University. All right reserved.

关键词:

Extraction Feature extraction Image fusion

作者机构:

  • [ 1 ] [Huang, Zhangqin]Beijing Engineering Research Center for IoT Software and System, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Mu, Zhao]Beijing Engineering Research Center for IoT Software and System, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Cen, Chen]Beijing Engineering Research Center for IoT Software and System, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Gao, Han]Beijing Engineering Research Center for IoT Software and System, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • [mu, zhao]beijing engineering research center for iot software and system, beijing university of technology, beijing; 100124, china

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来源 :

Journal of Xidian University

ISSN: 1001-2400

年份: 2020

期: 2

卷: 47

页码: 1-8 and 31

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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