[1]汪前进,朱 斌,李存华.基于特征点的图像拼接方法的研究与应用[J].南京师范大学学报(工程技术版),2016,16(03):048.[doi:10.3969/j.issn.1672-1292.2016.03.008]
 Wang Qianjin,Zhu Bin,Li Cunhua.Research and Application of Image Stitching Method Based on Feature Points[J].Journal of Nanjing Normal University(Engineering and Technology),2016,16(03):048.[doi:10.3969/j.issn.1672-1292.2016.03.008]
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基于特征点的图像拼接方法的研究与应用
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
16卷
期数:
2016年03期
页码:
048
栏目:
计算机工程
出版日期:
2016-09-30

文章信息/Info

Title:
Research and Application of Image Stitching Method Based on Feature Points
文章编号:
1672-1292(2016)03-0048-06
作者:
汪前进朱 斌李存华
淮海工学院计算机工程学院,江苏 连云港 222005
Author(s):
Wang Qianjin Zhu BinLi Cunhua
School of Computer Engineering,Huaihai Institute of Technology,Lianyungang 222005,China
关键词:
OpenCV图像拼接图像分析SURF算法
Keywords:
OpenCVimage stitchingimage analysisSURF algorithm
分类号:
TP391
DOI:
10.3969/j.issn.1672-1292.2016.03.008
文献标志码:
A
摘要:
图像拼接技术是图像处理的热点领域,图像配准和图像融合是图像拼接的两个关键技术. 本文研究了基于特征点的配准方法,使用SURF算法完成特征点的检测和描述. 在此基础上,调用OpenCV的API,实现了图像拼接,完成了柱面全景图的拼接和分析. 实验证明,该方法在自动化程度、运算速度和鲁棒性方面效果理想.
Abstract:
Image mosaic technology is a hotspot in the field of image processing,image registration and fusion are two key technologies of image mosaic. This paper proposes a method based on feature points,it detects and describes feature points using SUFF. It is realized by API on OpenCV and completes the cylindrical panoramic mosaic and achieves an ideal effect in automation,computing speed and the robustness by experiment.

参考文献/References:

[1] BROWN L G. A survey of image registration techniques[J]. ACM computing surveys,1999,24(4):325-376.
[2] ZITOVA B,FLUSSER J. Image registration methods:a survey[J]. Image and vision computing,2003,21(11):977-1 000.
[3] LOWE D G. Distinctive image features from scale in variant key points[J]. International journal of computer vision,2004,60(2):91-110.
[4] 阮芹,彭刚,李瑞. 基于特征点的图像配准与拼接技术研究[J]. 计算机与数字工程,2011,39(2):141-144.
RUAN Q,PENG G,LI R. Study on image registration and mosaic technology based on surf feature[J]. Computer & digital engineering,2011,39(2):141-144. (in Chinese)
[5] 王君本,卢选民,贺兆. 一种基于快速鲁棒特征的图像匹配算法[J]. 计算机工程与科学,2011,33(2):112-115.
WANG J B,LU X M,HE Z. An Improved algorithm of image registration ration based on fast robust feature[J]. Computer engineering & science,2011,33(2):112-115. (in Chinese)
[6] HERBERT B,ANDREAS E,TINNE T,et al. Speeded-up robust features(SURF)[J]. Computer vision and image understanding,2008,110(3):346-359.
[7] MARTIN A F,ROBERT C B. Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of the ACM,1981,24(6):381-395.
[8] BROWN M,LOWE D G. Automatic panoramic image stitching using invariant features[J]. International journal of computer vision,2007,74(1):59-73.

相似文献/References:

[1]李鹏程,曾毓敏,张 梦.基于改进Harris的图像拼接算法[J].南京师范大学学报(工程技术版),2014,14(01):070.
 Li Pengcheng,Zeng Yumin,Zhang Meng.Improved Image Mosaic Algorithm Based on Harris Corner[J].Journal of Nanjing Normal University(Engineering and Technology),2014,14(03):070.

备注/Memo

备注/Memo:
收稿日期:2016-07-20. 
基金项目:江苏省高等教育教改研究立项课题(2015JSJG126)、连云港市应用研究课题(LSYZ16409). 
通讯联系人:汪前进,副教授,研究方向:智能信息处理、智慧教育. E-mail:747359918 @qq.com
更新日期/Last Update: 2016-09-30