Volume 43 Issue 3
Apr.  2014
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Yang Lei, Cao Jianzhong, Tang Linao, Gao Bo, Wang Hua, Guo Huinan. Optimized design of automatic panoramic images mosaic[J]. Infrared and Laser Engineering, 2014, 43(3): 985-990.
Citation: Yang Lei, Cao Jianzhong, Tang Linao, Gao Bo, Wang Hua, Guo Huinan. Optimized design of automatic panoramic images mosaic[J]. Infrared and Laser Engineering, 2014, 43(3): 985-990.

Optimized design of automatic panoramic images mosaic

  • Received Date: 2013-07-08
  • Rev Recd Date: 2013-08-11
  • Publish Date: 2014-03-25
  • An optimized algorithm of automatic panoramic image mosaic was presented based on time and frequency domains. Firstly, the improved phase correlation method was used to sort the panoramic image sequence automatically and then determine the overlap region. In order to reduce the false match rate of the corner, the brightness of the overall image was adjusted automatically according to the overlap region's pixel mean. Then, an improved Harris operator was adopted to extract corners (with no need to set threshold value manually), the initial feature points pairs were obtained by the bidirectional greatest correlative coefficient and the false feature point pairs were rejected by RANSAC algorithm. Finally, the nonlinear smoothing algorithm was adopted to fuse the overlap regions of the image. The experimental results show that optimization algorithm is simple and effective in the sorting process. Compared with the existing algorithm, the optimization algorithm proposed at present makes a great progress in the success rate and the efficiency in the matching and extracting process of feature points. The stitched image is with great clarity, soundness and stitching accuracy.
  • [1] Wu Xianxiang, Guo Baolong, Wang Juan. Cylin-drical panoramic image automatic mosaic al-gorithm based on phase correlation[J]. Acta Optica Sinica, 2009, 29(7): 1824-1829. (in Chinese) 吴宪祥, 郭宝龙, 王娟. 基于相位相关的柱面全景图像自 动拼接算法[J]. 光学学报, 2009, 29(7): 1824-1829.
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    [4] An Jianni, Liu Guixi. Image mosaic algorithm based on feature points matching and automatic transform parameters identifying [J]. Infrared and Laser Engineering, 2011, 40(3): 564-569. (in Chinese) 安建妮, 刘贵喜. 利用特征点配准和变换参数自动识别的 图像拼接算法[J]. 红外与激光工程, 2011, 40(3): 564-569.
    [5] Stein G. Accurate internal camera calibration using rotation, with analysis of sources of error [C]//Proceedings of the 5th International Conference on Computer Vision, Cambridge, Massac-husetts, USA, 1995: 230-236.
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    [7] Qi Chi, Liu Qiang, Sun Jiaguang. Video mosaic for panoramic image [J]. Journal of Computer-aided Design & Computer Graphics, 2001, 13(17): 605-609. (in Chinese) 漆驰, 刘强, 孙家广. 摄像机图像序列的全景图像拼接[J]. 计算机辅助设计与图形学报, 2001, 13(17): 605-609.
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    [10] Feng Yuping, Dai Ming, Sun Liyue, et al. Optimized design of automatic image mosaic [J]. Optics and Precision Engineering, 2010, 18(2): 470-476. (in Chinese) 冯宇平, 戴明, 孙立悦, 等. 图像自动拼接融合的优化设计[J]. 光学精密工程, 2010, 18(2): 470-476.
    [11] Wu Xianxiang, Guo Baolong, Wang Juan. An improved automatic image sequencing algorit-hm [J]. Journal of Optoelectronicso Laser, 2009, 20(8): 1114-1117. (in Chinese) 吴宪祥, 郭宝龙, 王娟. 一种改进的序列图像自动排序算 法[J]. 光电子激光, 2009, 20(8): 1114-1117.
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    [15] Kuglin C, Hines D. The phase correlation image alignment method [C]//Conference on Cybernetics and Society, New York, IEEE, 1975: 163-165.
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Optimized design of automatic panoramic images mosaic

  • 1. Xi'an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi'an 710119,China

Abstract: An optimized algorithm of automatic panoramic image mosaic was presented based on time and frequency domains. Firstly, the improved phase correlation method was used to sort the panoramic image sequence automatically and then determine the overlap region. In order to reduce the false match rate of the corner, the brightness of the overall image was adjusted automatically according to the overlap region's pixel mean. Then, an improved Harris operator was adopted to extract corners (with no need to set threshold value manually), the initial feature points pairs were obtained by the bidirectional greatest correlative coefficient and the false feature point pairs were rejected by RANSAC algorithm. Finally, the nonlinear smoothing algorithm was adopted to fuse the overlap regions of the image. The experimental results show that optimization algorithm is simple and effective in the sorting process. Compared with the existing algorithm, the optimization algorithm proposed at present makes a great progress in the success rate and the efficiency in the matching and extracting process of feature points. The stitched image is with great clarity, soundness and stitching accuracy.

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