• Laser & Optoelectronics Progress
  • Vol. 56, Issue 6, 061004 (2019)
Qiangqiang Miao*
Author Affiliations
  • College of Information Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
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    DOI: 10.3788/LOP56.061004 Cite this Article Set citation alerts
    Qiangqiang Miao. Key Frame Extraction of Hysteroscopy Videos Based on Image Quality and Attention[J]. Laser & Optoelectronics Progress, 2019, 56(6): 061004 Copy Citation Text show less
    Overall framework of proposed method
    Fig. 1. Overall framework of proposed method
    Processing results of video 4 by method in Ref.[13]
    Fig. 2. Processing results of video 4 by method in Ref.[13]
    Image quality curve of video 4 and corresponding video segmentation results
    Fig. 3. Image quality curve of video 4 and corresponding video segmentation results
    Final segmentation results of video 4 and key frames selected by proposed method
    Fig. 4. Final segmentation results of video 4 and key frames selected by proposed method
    Comparison of key frames extractedfrom video 8 by each method
    Fig. 5. Comparison of key frames extractedfrom video 8 by each method
    MethodNMξμR /%P /%F /%Running time /h
    Method in Ref. [1]121563572.9246.2856.6215.56
    Method in Ref. [2]192582245.8330.2136.420.13
    Method in Ref. [11]110503879.1745.4557.7512.36
    Method in Ref. [13]109523981.2547.7160.1212.21
    Proposed102543777.0852.9462.771.64
    Table 1. Comparison of experimental resultsby each method
    Qiangqiang Miao. Key Frame Extraction of Hysteroscopy Videos Based on Image Quality and Attention[J]. Laser & Optoelectronics Progress, 2019, 56(6): 061004
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