Volume 9 Issue 4
Jul.  2016
Turn off MathJax
Article Contents
CHEN Yue, ZHAO Yan, WANG Shi-gang. Fast image stitching method based on SIFT with adaptive local image feature[J]. Chinese Optics, 2016, 9(4): 415-422. doi: 10.3788/CO.20160904.0415
Citation: CHEN Yue, ZHAO Yan, WANG Shi-gang. Fast image stitching method based on SIFT with adaptive local image feature[J]. Chinese Optics, 2016, 9(4): 415-422. doi: 10.3788/CO.20160904.0415

Fast image stitching method based on SIFT with adaptive local image feature

doi: 10.3788/CO.20160904.0415
Funds:

National Natural Science Foundation of China No.61271315

More Information
  • Corresponding author: E-mail:zhao_y@jlu.edu.cn
  • Received Date: 18 Mar 2016
  • Rev Recd Date: 28 Apr 2016
  • Publish Date: 01 Aug 2016
  • Aiming at the massive calculation burden and poor real-time performance of the existing image stitching methods, a fast image stitching method based on fast Scale Invariant Feature Transform(SIFT) algorithm with adaptive local image feature is proposed in this paper. Firstly, the images are divided into blocks. And the feature types of thses local image blocks are determined. The feature points of the local image blocks are extracted using different simplified method adaptively. Secondly, we use feature matching to get the transform matrix and the RANSAC algorithm is applied to remove the wrong matching point pairs. Finally, the stitched image can be obtained by image blending. In this paper, three groups of to-be-stitched images are used to test the performance of the proposed method. Experimental results show that compared with the standard stitching algorithm, the calculation speed by the proposed method is increased by about 30%-45%. In conclusion, the proposed method improves the stitching efficiency and efficiently overcomes the shortcomings of heavy computation in the process of image stitching while it consistently guarantees the quality of stitched image. It has a certain application value in the actual image stitching.

     

  • loading
  • [1]
    李宏升,张健.基于小波粗糙集算法的图像拼接研究[J].液晶与显示,2014,29(2):298-303.

    LI H SH,ZHANG J. Image mosaic research based on wavelet and rough set algorithm[J]. Chinese J. Liquid Crystals and Displays,2014,29(2):298-303.(in Chinese)
    [2]
    史光辉,杨威.用于图像拼接的电视摄像光学系统[J].中国光学,2014,7(4):638-643.

    SHI G H,YANG W. Optical system used to compose images in television photograph[J]. Chinese Optics,2014,7(4):638-643.(in Chinese)
    [3]
    张云峰.基于DSP的实时图像拼接技术[J].液晶与显示,2013,28(6):963-967.

    ZHANG Y F. Real-Time image mosaic technology based on DSP[J]. Chinese J. Liquid Crystals and Displays,2013,28(6):963-967.(in Chinese)
    [4]
    何宾,陶丹,彭勃.高实时性F-SIFT图像拼接算法[J].红外激光工程,2013,42(S2):440-444.

    HE B,TAO D,PENG B. High real F-SIFT image stitching algorithm[J]. Infrared and Laser Engineering,2013,42(S2):440-444.(in Chinese)
    [5]
    李军,吴洁明.一种改进图像拼接算法的仿真研究[J].计算机仿真,2012,29(2):273-313.

    LI J,WU J M. Simulation study of an improved image stitching algorithm[J]. Computer Simulation,2012,29(2):273-313.(in Chinese)
    [6]
    王新华,王晓坤.十亿像素瞬态成像系统实时图像拼接[J].中国光学,2015,8(5):785-792.

    WANG X H,WANG X K. Real time image mosaic of the transient gigapixel imaging system[J]. Chinese Optics,2015,8(5):785-792.(in Chinese)
    [7]
    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):211-219.

    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):211-219.( in Chinese)
    [8]
    CHEN J W,FENG H J,PAN K C,et al.. An optimization method for registration and mosaicking of remote sensing images[J]. Optik - International J. Light and Electron Optics,2014,125(2):697-703.
    [9]
    SZELISKI R. Video mosaics for virtual environments[J]. Computer Graphics and Applications,1996,16(2):22-30.
    [10]
    PELEG S,ROUSSO B,RAV-ACHA A,et al.. Mosaicing on adaptive manifolds[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2000,22(10):1144-1154.
    [11]
    BROWN M,LOWE D G. Automatic panoramic image stitching using invariant features[J]. International J. Computer Vision,2007,74(1):59-73.
    [12]
    MAHESH,SUBRAMANYAM M V. Automatic image mosaic system using steerable Harris corner detector[J]. Machine Vision and Image Processing,2012:87-91.
    [13]
    LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International J. Computer Vision,2004,60(2):91-110.
    [14]
    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)
    [15]
    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)
    [16]
    王睿,朱正丹.融合全局颜色信息的尺度不变特征变换[J].光学 精密工程,2015,23(1):295-301.

    WANG R,ZHU ZH D. SIFT matching with color invariant characteristics and global context[J]. Opt. Precision Eng.,2015,23(1):295-301.( in Chinese)
    [17]
    LUO J,GWUN O. A comparison of SIFT, PCA-SIFT and SURF[J]. International J. Image Processing(IJIP),2009,3(4):143-152.
    [18]
    ANNIS F,KARTHIK R,VAIDEHI V. Image stitching with combined moment invariants and SIFT features[J]. Procedia Computer Science,2013,19:420-427.
    [19]
    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):266-273.

    WANG C J,SUN T,CHEN J. Speeding up local invariant feature matching using parallel technology[J]. Chinese J. Liquid Crystals and Displays,2014,29(2):266-273.(in Chinese)
    [20]
    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 feature[J]. Chinese J. Liquid Crystals and Displays,2014,29(5):761-767.(in Chinese)
    [21]
    聂海涛,龙科慧,马军,等.采用改进尺度不变特征变换在多变背景下实现快速目标识别[J].光学 精密工程,2015,23(8):2349-2356.

    NIE H T,LONG K H,MA J,et al.. Fast object recognition under multiple varying background using improved SIFT method[J]. Opt. Precision Eng.,2015,23(8):2349-2356.( in Chinese)
    [22]
    HARRIS C,STEPHENS M. A combined corner and edge detector[C]. Proceedings 4th Alvey Vision Conference,1988,147-151.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)  / Tables(3)

    Article views(2394) PDF downloads(1039) Cited by()
    Proportional views

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return