Chinese Journal of Quantum Electronics ›› 2020, Vol. 37 ›› Issue (1): 22-28.

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Quantum image stitching of SIFT based on dynamic threshold and global information

TANG Zetian1,2, DING Zhao1,2, ZENG Ruimin1,2, ZHONG Minzhe1,2, ZHU Dengwei1,2, WANG Yuhao1,2, WANG Yang1,2, YANG Chen1,2,3   

  1. 1 College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China; 2 Power Semiconductor Device Reliability Engineering Center of the Ministry of Education, Guizhou University, Guiyang 550025, China; 3 Longmaster Information and Technology Co., Guiyang 550022, China
  • Received:2019-07-16 Revised:2019-11-05 Published:2020-01-28 Online:2020-01-28

Abstract: When applied to quantum image mosaic, the traditional SIFT algorithm will result in problems such as unreasonable feature point distribution and high mismatch rate. An improved SIFT quantum image stitching algorithm based on dynamic threshold and global information is proposed. In the aspect of unreasonable feature point number, as the number is proportional to the number of quantum dots or quantum loops, the density of quantum dots or rings is calculated to set the contrast threshold of the SIFT algorithm for the appropriate feature point number. In the aspect of reducing high false mismatch rate, a global information descriptor is constructed and combined with the local SIFT descriptor. Experiments show that the improved algorithm effectively completes the stitching of quantum loops, quantum lines and quantum dot images, effectively controls the feature points of quantum images within a reasonable range, and reduces the mismatch rate from 17.34% ~ 33.02% to 10.84% ~ 20%, which makes the quantum image mosaic have better reliability.

Key words:

scale-invariant feature transform, quantum image, global information, dynamic threshold

CLC Number: