[1]杨云涛 冯莹 曹毓 陈运锦.基于SURF的序列图像快速拼接方法[J].计算机技术与发展,2011,(03):6-9.
　YANG Yun-tao,FENG Ying,CAO Yu,et al.Fast Method for Image Sequences Mosaic Based on SURF[J].,2011,(03):6-9.
点击复制

基于SURF的序列图像快速拼接方法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年03期
页码:
6-9
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Fast Method for Image Sequences Mosaic Based on SURF
文章编号:
1673-629X（2011）03-0006-04
作者:
杨云涛 冯莹 曹毓 陈运锦
国防科学技术大学光电科学与工程学院
Author(s):
YANG Yun-tao;  FENG Ying;  CAO Yu;  CHEN Yun-jin
College of Optoelectronic Science and Engineering, National University of Defense Technology
关键词:
序列图像拼接; SURF; RANSAC; 最大值融合法
Keywords:
image sequences mosaic; speeded up robust features ;  random sample consensus; image fusion of maximum
分类号:
TP391.4
文献标志码:
A
摘要:
针对车载摄像平台的序列图像拼接问题，提出一种基于SURF的序列图像快速拼接方法。首先，对经预处理后的序列图像提取SURF特征点，采用最近邻法匹配特征点；其次，利用RANSAC算法估计相邻帧的变换关系；再采用改进的全局配准策略，完成图像配准；最后，采用一种最大值融合法，去除了拼接缝和光照明暗变化的影响，实现序列图像的无缝拼接。实验结果表明该方法适用于车载摄像平台序列图像的快速、无缝拼接，具有较强的鲁棒性，有一定的实用价值
Abstract:
A fast method based on SURF is proposed for image sequences mosaic of vehicle camera platform. First, SURF features are extracted from preprocessing images and matched by using the nearest neighbor method. Second, RANSAC is used to solve for the homography between adjacent frames. Then, a global model is found with improved image registration method. Finally, seamless image sequences mosaic is obtained with image fusion of maximum, which is against seams and illumination variations. The experimental resuits show that the method is fast for seamless image sequences mosaic of vehicle camera platform, is robust and has certain practical value

相似文献/References:

[1]闵华清 黄欣欣 罗荣华.基于激光和视觉信息的机器人目标跟踪方法[J].计算机技术与发展,2010,(04):113.
　MIN Hua-qing,HUANG Xin-xin,LUO Rong-hua.Robot Target Tracking Approach Based on Laser and Vision Information[J].,2010,(03):113.
[2]刘有科[],高珏[],谭松[],等. 一种基于CUDA的快速宽视频拼接的方法[J].计算机技术与发展,2015,25(01):15.
　LIU You-ke[],GAO Jue[],TAN Song[],et al. A Fast Wide Video Stitching Method Based on CUDA[J].,2015,25(03):15.
[3]雷飞,王文学,王雪丽,等. 基于改进SURF的实时视频拼接方法[J].计算机技术与发展,2015,25(03):32.
　LEI Fei,WANG Wen-xue,WANG Xue-li,et al. Real-time Video Stitching Method Based on Improved SURF[J].,2015,25(03):32.
[4]武频[],王庆[],朱永华[],等. 一种改进的基于SURF的视频帧间匹配方法[J].计算机技术与发展,2017,27(02):20.
　WU Pin[],WANG Qing[],ZHU Yong-hua[],et al. An Improved Matching Method in Video Frames Based on SURF[J].,2017,27(03):20.
[5]张晨,刘宁钟.基于无人机视觉的道路违法搭建检测[J].计算机技术与发展,2018,28(07):140.[doi:10.3969/ j. issn.1673-629X.2018.07.030]
　ZHANG Chen,LIU Ning-zhong.llegal Construction Detection of Road Based on Unmanned Aerial Vehicle Vision[J].,2018,28(03):140.[doi:10.3969/ j. issn.1673-629X.2018.07.030]
[6]柴 政,刘任任,梁光明.基于机械扫描与改进 SURF 的显微图像拼接算法[J].计算机技术与发展,2019,29(11):97.[doi:10. 3969 / j. issn. 1673-629X. 2019. 11. 020]
　CHAI Zheng,LIU Ren-ren,LIANG Guang-ming.Microscopic Image Stitching Algorithm Based on Mechanical Scanning and Improved SURF[J].,2019,29(03):97.[doi:10. 3969 / j. issn. 1673-629X. 2019. 11. 020]
[7]罗正军,金旭东,张丽丽.基于图像匹配的 Web UI 自动测试方法研究[J].计算机技术与发展,2022,32(10):65.[doi:10. 3969 / j. issn. 1673-629X. 2022. 10. 011]
　LUO Zheng-jun,JIN Xu-dong,ZHANG Li-li.Research on Web UI Automated Testing Method Based on Image Matching[J].,2022,32(03):65.[doi:10. 3969 / j. issn. 1673-629X. 2022. 10. 011]

备注/Memo

备注/Memo:
中国人民解放军总后勤部资助项目（编号略）杨云涛（1986-），男，河北唐山人，硕士生，研究方向为图像处理；冯莹，教授，博士生导师，研究方向为光纤光源、光学生物传感及光电检测系统等
更新日期/Last Update: 1900-01-01