Image mosaic algorithm based on area blocking and SIFT

LI Yu-feng; LI Guang-ze; GU Shao-hu; LONG Ke-hui

doi:10.3788/OPE.20162405.1197

您当前的位置：

首页 >

文章列表页 >

Image mosaic algorithm based on area blocking and SIFT

更新时间：2020-08-13

- Image mosaic algorithm based on area blocking and SIFT
- Optics and Precision Engineering Vol. 24, Issue 5, Pages: 1197-1205(2016)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
  2. 沈阳航空航天大学电子信息工程学院,辽宁沈阳,110136
  3. 长沙航空职业技术学院,湖南长沙,410124
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20162405.1197
  CLC： TP391.4
- Received：30 June 2015，
  
  Revised：02 August 2015，
  
  Published：25 May 2016
- 稿件说明：
移动端阅览
李玉峰, 李广泽, 谷绍湖等. 基于区域分块与尺度不变特征变换的图像拼接算法[J]. 光学精密工程, 2016,24(5): 1197-1205

LI Yu-feng, LI Guang-ze, GU Shao-hu etc. Image mosaic algorithm based on area blocking and SIFT[J]. Editorial Office of Optics and Precision Engineering, 2016,24(5): 1197-1205
李玉峰, 李广泽, 谷绍湖等. 基于区域分块与尺度不变特征变换的图像拼接算法[J]. 光学精密工程, 2016,24(5): 1197-1205 DOI： 10.3788/OPE.20162405.1197.

LI Yu-feng, LI Guang-ze, GU Shao-hu etc. Image mosaic algorithm based on area blocking and SIFT[J]. Editorial Office of Optics and Precision Engineering, 2016,24(5): 1197-1205 DOI： 10.3788/OPE.20162405.1197.

摘要

针对图像匹配算法计算量大

实时性差的问题

提出了一种基于区域分块与尺度不变特征变换(SIFT)相结合的图像拼接算法。该算法利用图像能量的归一化互相关系数快速分割出匹配图像与待匹配图像间的相似区域

利用SIFT算法在重叠区域中搜索出能用于匹配的图像特征点并实现快速精确配准。然后

通过对图像进行了几何校正和图像融合来实现图像序列间的无缝拼接。实验结果表明

该算法减少了传统SIFT算法的大量无用搜索

改善了图像的几何失真

降低了算法复杂度

提高了图像匹配的速度

在保证90%以上的匹配准确率的基础上

计算时间较传统SIFT算法减少了近50%。提出的算法可准确、快速地实现有形变和尺度变换图像的无缝拼接。

Abstract

For a large amount of calculation and poor real-time performance of image matching algorithms

this paper proposes a novel image mosaic algorithm based on area blocking and Scale Invariable Feature Transformation (SIFT). This algorithm uses a normalized cross-correlation coefficient from the image energy to search the similar region between the reference image and the image to be matched

and then it takes the SIFT algorithm to extract image feature points in a overlapped region to implement the rapid and accurate image registration. Finally

it performs the image geometry adjustment and image fusion to get a seamless image. The experimental results show that the algorithm reduces the large number of useless search of the traditional SIFT algorithm

ovecomes the image geometric distortion

lowers algorithm complexity

and improves the speed of image matching. With ensuring the accuracy of image matching over 90%

its computation time has decreased by nearly 50% than that of the traditional SIFT algorithm. In conclusion

the algorithm implements accurately and rapidly seamless mosaicking for the images with deformation and scale transform.

关键词

Keywords

references

SU M S, WANG L, CHENG K Y. Analysis on multiresolution mosaic images[J]. IEEE Transactions on Image Processing, 2004, 13(7):952-959.

杜京义,胡益民,刘宇程. 基于区域分块的SIFT图像匹配技术研究与实现[J]. 光电工程,2013,40(8):52-58. DU J Y,HU Y M, LIU Y CH. Research and implementation of matching technique of image based on SIFT algorithm of area blocking[J]. Opto-Electronic Engineering, 2013,40(8):52-58.(in Chinese)

刘志文,刘定生,刘鹏. 应用尺度不变特征变换的多源遥感影像特征点匹配[J]. 光学精密工程,2013,21(8):2146-2153. LIU ZH W, LIU D SH, LIU P. SIFT feature matching algorithm of multi-source remote image[J]. Opt. Precision Eng., 2013,21(8):2146-2153.(in Chinese)

唐永鹤,陶华敏,卢焕章,等. 一种基于Harris算子的快速图像匹配算法[J]. 武汉大学学报:信息科学版,2012,37(4):406-409. TANG Y H, TAO H M, LU H ZH, et al.. A fast image matching algorithm based on Harris operator[J].Geometrics and Information Science of Wuhan University, 2012,37(4):406-409.(in Chinese)

曾峦,王元钦,谭久彬. 改进的SIFT特征提取和匹配算法[J]. 光学精密工程,2011,19(6):1391-1397. ZENG L, WANG Y Q, TAN J B. Improved algorithm for SIFT feature extraction and matching[J]. Opt. Precision Eng., 2011,19(6):1391-1397.(in Chinese)

LOWE D G. Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision(S0920-5691),2004,60(2):91-100.

许佳佳. 结合Harris与SIFT算子的图像快速配准算法[J]. 中国光学,2015,8(4):574-581. XU J J.Fast image registration method based on Harris and SIFT algorithm[J]. Chinese Optics, 2015,8(4):574-581.(in Chinese)

王新华,黄玮,欧阳继红. 多探测器拼接成像系统实时图像配准[J]. 中国光学, 2015,8(2):211-218. WANG X H,HUANG W,OUYANG J H. Real-time image registration of the multi-detectors mosaic imaging system[J]. Chinese Optics, 2015,8(2):211-218.(in Chinese)

邸男,李桂菊,魏雅娟. 采用SIFT的末制导图像匹配技术[J]. 红外激光工程, 2011,40(8):1499-1593. DI N, LI G J, WEI Y J.Image matching technology based on SIFT for terminal-guiding system[J].Infrared and Laser Engineering, 2011,40(8):1499-1593.(in Chinese)

MIKOLAJCZYK K,SCHMID C.A performance evaluation of local descriptors[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(10):1615-1630.

LIU R, ZHANG J SH. Application of the extraction of the image feature points by improved SIFT algorithm[C].IEEE International Conference on Communications, Budapest, Hungary,June 9-June 13,2013:946-949.

李军民,王进戈,周文天. 基于相对位置不变性的SIFT高效匹配算法研究[J]. 四川大学学报:工程科学版,2013,45(6):105-109. LI J M, WANG J G, ZHOU W T. Efficient matching algorithm of SIFT based on relative position invariance[J]. Journal of Sichuan University (Engineering Science Edition), 2013,45(6):105-109.(in Chinese)

何宾,陶丹,彭勃. 高实时性F-SIFT图像拼接算法[J]. 红外与激光工程,2013,42(S2):440-444. HE B, TAO D, PENG B. High real-time F-SIFT image mosaic algorithm[J].Infrared and Laser Engineering, 2013,42(S2):440-444.(in Chinese)

王灿进,孙涛,陈娟. 局部不变特征匹配的并行加速技术研究[J]. 液晶与显示,2014,29(2):266-274. WANG C J,SUN T,CHEN J. Speeding up local invariant feature matching using parallel technology[J].Chinese Journal of Liquid Crystals and Displays,2014,29(2):266-274.(in Chinese)

刘立,彭复员,赵坤,等. 采用简化SIFT算法实现快速图像匹配[J]. 红外与激光工程,2008,37(1):181-184. LIU L, PENG F Y, ZHAO K, et al.. Simplified SIFT algorithm for fast image matching[J].Infrared and Laser Engineering, 2008,37(1):181-184.(in Chinese)

汪松,王俊平,万国挺,等. 基于SIFT算法的图像匹配方法[J]. 吉林大学学报:工学版,2013,43(增刊):279-282. WANG S, WANG J P, WAN G T, et al.. Image matching method based on SIFT algorithm[J]. Journal of Jilin University (Engineering and Technology Edition), 2013,43(Supp.):279-282.(in Chinese)

严大勤,孙鑫. 一种基于区域匹配的图像拼接算法[J]. 仪器仪表学报, 2006,27(6):749-755. YAN D Q, SUN X. Image mosaics algorithm based on area matching[J]. Chinese Jouranal of Scientific Instrument, 2006,27(6):749-755.(in Chinese)

韩冰,王永明. 基于一种快速归一化积相关算法的图像匹配研究[J]. 兵工学报,2010,31(2):160-165. HAN B, WANG Y M. Research of image matching based on a fast normalized cross correlation algorithm[J].Acta Armamentarii, 2010,31(2):160-165.(in Chinese)

陈卫兵. 几种图像相似性度量的匹配性能比较[J]. 计算机应用,2010,30(1):98-110. CHEN W B. Comparison of matching capabilities in similarity measurements[J]. Journal of Computer Applications, 2010,30(1):98-110.(in Chinese)

韩冬松,何昕,魏仲慧,等. 采用区域特征匹配的三维弹痕自动配准[J]. 液晶与显示,2014,29(5):761-767. HAN D S,HE X, WEI ZH H, et al.. Automatic registration of 3-D bullet marks by matching regional features[J].Chinese Journal of Liquid Crystals and Displays, 2014,29(5):761-767.(in Chinese)

Views

354

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Automatic measurement of folding wing geometry size based on improved Canny-FAST

Visible and infrared image matching based on CycleGAN-SIFT

Fast image matching algorithm with approximate affine and scale invariance

Improved SIFT feature extraction and matching technology based on hyperspectral image

Visual measurement of high-temperature welding deformation for high-strength steel sheet

Related Author

SUN Zimeng

GAO Xinwei

GE Taikun

NIU Chao

LI Shixiong

CAI Yindi

Tian HE

Shuai HAO

Related Institution

China Airborne Missile Academy

College f Mechanical Engineering， Dalian University of Technology

Institute of Physics and Electrical Engineering， Weinan Normal University

College of Safety Science and Engineering， Xi'an University of Science and Technology

College of Electrical and Control Engineering， Xi'an University of Science and Technology

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰