Laser & Optoelectronics Progress, Volume. 56, Issue 7, 071504(2019)

Efficient Tumor Tracking Algorithm for Gastroscope Image

Quansheng Liu1, Yanmei Jiang2, Jingchao Yang2、*, and Pengcheng Ma3
Author Affiliations
  • 1 Police Scientific Research Office, Hebei Vocational College of Public Security Police, Shijiazhuang, Hebei 0 50091, China
  • 2 Department of Economic Management, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, Hebei 0 50091, China
  • 3 Situ Technology (Guangzhou) Co., Ltd., Guangzhou, Guangdong 511458, China
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    Figures & Tables(8)
    Acquisition process of ROI. (a) Video interface; (b) acquired ROI
    Flow chart of proposed method
    Feature point extraction (2nd frame). (a) SIFT; (b) SURF
    Smallest circular region containing all feature points. (a) SIFT; (b) SURF
    Smallest circular region without mismatching points. (a) SIFT; (b) SURF
    Part of tracking results for lesion region in gastroscope. (a) Template; (b) SURF; (c)~(f) tracking results
    Part of tracking mark results. (a) SIFT; (b) improved SIFT; (c) SURF; (d) improved SURF
    • Table 1. Comparison of tracking accuracy of different algorithms

      View table

      Table 1. Comparison of tracking accuracy of different algorithms

      MethodAccuracy /%Average timeper frame /ms
      SIFT49.672.98
      Improved SIFT70.833.01
      SURF64.670.91
      Improved SURF90.170.92
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    Quansheng Liu, Yanmei Jiang, Jingchao Yang, Pengcheng Ma. Efficient Tumor Tracking Algorithm for Gastroscope Image[J]. Laser & Optoelectronics Progress, 2019, 56(7): 071504

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    Paper Information

    Category: Machine Vision

    Received: Sep. 14, 2018

    Accepted: Oct. 30, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Jingchao Yang (280573306@qq.com)

    DOI:10.3788/LOP56.071504

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