Corner detection and matching for infrared image based on double ring mask and adaptive SUSAN algorithm

  • Xu Chen
  • Lei Liu
  • Jiaxiao Song
  • Yefei Li
  • Zhuang Zhang


Infrared (IR) image fusion is designed to fuse several IR images into a comprehensive image to boost imaging quality and reduce redundancy information, and image matching is an indispensable step. However, Conventional matching techniques are susceptible to the noise and fuzzy edges in IR images and it is therefore very desirable to have a matching algorithm that is tolerant to them. This paper presents a method for infrared image matching based on the SUSAN corner detection. To solve the problems of the traditional SUSAN algorithm including the fixed threshold of gray value difference and the failed detection of symmetry corners, an adaptive threshold extraction method is raised in this study. Furthermore, an attached double ring mask is used to improve the complex corner detection capability. A constraint condition and a principle of gravity are adopted to filtrate the candidate corners. The proposed method is qualitatively and quantitatively evaluated on IR images in the experiments. In comparison with other methods, better performance has been achieved.


Infrared image matching SUSAN Adaptive threshold Double ring mask 



This work is sponsored by Qing Lan Project of Jiangsu Province-China, the Fundamental Research Funds for the Central Universities-China (Grant No. 30916011206) and the Six Talent Peaks Project in Jiangsu Province-China (Grant No. 2015-XCL-008).


  1. Arif, S.M.M.R.A., Asad, M., Gundry, M., et al.: Patch-based corner detection for cervical vertebrae in X-ray images. Signal Process. Image Commun. 59, 27–36 (2017)CrossRefGoogle Scholar
  2. Clady, X., Ieng, S.H., Benosman, R.: Asynchronous event-based corner detection and matching. Neural Netw. 66, 91–106 (2015)CrossRefGoogle Scholar
  3. Harris, C., Satephens, M.J.: A combined corner and edge detector. In: Proceedings of 4th Alvey Vision Conference (3), pp. 147–151 (1988)Google Scholar
  4. Ku, D., Cheng, J., Gao, G.: Translucent-static TV logo recognition by SUSAN corner extracting and matching. In: Proceedings of INTECH, pp. 44–48. IEEE (2013)Google Scholar
  5. Liu, B.T.: Research on the corner detection algorithms of digital images. Master Dissertation, Northwest University (2016)Google Scholar
  6. Liu, B., Zhong, S.D.: A SUSAN corner detector based on adaptive threshold. Infrared Technol. 28(6), 331–333 (2006)Google Scholar
  7. Liu, H., Ran, J., Xie, T., et al.: Thermal feature extraction of servers in a datacenter using thermal image registration. Infrared Phys. Technol. 85, 133–140 (2017)ADSCrossRefGoogle Scholar
  8. Lu, Y., Hao, X.W., Wang, Y.J.: Research on Moravec and Harris corner algorithm. Comput. Technol. Dev. 21(6), 95–97 (2011)Google Scholar
  9. Moravec, H.P.: Towards automatic visual obstacle avoidance. In: Proceedings of 5th IJCAI, vol. 2, pp. 584–590 (1977)Google Scholar
  10. Nachar, R.A., Inaty, E., Bonnin, P.J., et al.: Image registration based on edge dominant corners. In: International Conference on VISAPP, vol. 13(4), pp. 399–404 (2015)Google Scholar
  11. Panchala, T., Patela, H., Panchal, A.: License plate detection using Harris corner and character segmentation by integrated approach from an image. Procedia Comput. Sci. 79, 419–425 (2016)CrossRefGoogle Scholar
  12. Smith, S.M., Brady, J.M.: SUSAN: a new approach to low level image processing. Int. J. Comput. Vis. 23(1), 45–78 (1997)CrossRefGoogle Scholar
  13. Tang, J.G., Ren, L., Lin, X., et al.: An improved SUSAN corner detection algorithm based on discrete ring-shaped mask. Inf. Technol. 01, 31–34 (2014)Google Scholar
  14. Tang, W.: Research on the matching algorithm for IR images. Master Dissertation, Beijing University of Posts and Telecommunications (2014)Google Scholar
  15. Wang, Z.B.: The application of SUSAN algorithm and virtual circles in image registration. Master Dissertation, Shandong Normal University (2008)Google Scholar
  16. Wang, G.Q.: Research on feature detection methods based on SUSAN operator. Master Dissertation, Shanxi Normal University (2015)Google Scholar
  17. Wang, W., Zhao, H.R.: The improvement of SUSAN for image matching. J. Remote Sens. 15(5), 940–956 (2011)MathSciNetGoogle Scholar
  18. Xiao, Y., Wang, Y.H., Dan, X.Z., et al.: Corner detection and sorting method based on improved Harris algorithm in camera calibration. Proc. SPIE 10023, 100231O (2016)CrossRefGoogle Scholar
  19. Yang, X.F., Huang, Y.M., Li, Y., et al.: An algorithm for feature points detection based on univalue segment assimilating nucleus. Mech. Sci. Technol. Aerosp. Eng. 30(7), 1120–1123 (2011)Google Scholar
  20. Zhang, B.L.: Matching technology based on SUSAN corner detector. J. Xian Univ. Arts Sci. 12(4), 55–58 (2009)MathSciNetGoogle Scholar
  21. Zhang, J.S., Zhang, H.M., Luo, Y.T., et al.: Image registration method based on improved Harris corner detection algorithm. Laser IR 47(2), 230–233 (2017)Google Scholar
  22. Zuo, C., Chen, Q., Gu, G.H., et al.: Registration method for IR images under conditions of fixed-pattern noise. Opt. Commun. 285(9), 2293–2302 (2012)ADSCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Xu Chen
    • 1
  • Lei Liu
    • 1
  • Jiaxiao Song
    • 1
  • Yefei Li
    • 1
  • Zhuang Zhang
    • 1
  1. 1.School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjingChina

Personalised recommendations