Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0837012(2024)

Microscopic Image Stitching Algorithm Based on Stage Motion Information

Jiaguang Huang1, Zhenming Yu2、*, Guojin Peng2, Hui Gan2, and Lü Meini2
Author Affiliations
  • 1College of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, Guangxi , China
  • 2Guangxi Key Laboratory of Machine Vision and Intelligent Control, Wuzhou University, Wuzhou 543002, Guangxi , China
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    Figures & Tables(21)
    Motion platform
    Stitching path
    Predictive stitching model
    Predict matching feature points
    Feature point pair slope coarse screening
    Stitching mode
    Registering image with stitching direction of 1
    Image fusion. (a) Fusion of two images; (b) fusion of multiple images
    Multi-image stitching
    Algorithm flow with stitching direction of 2
    Similarity of image structure. (a) Spinal cord; (b) dicotyledons; (c) natural scene
    Predicted and actual coordinates of different overlapping areas. (a) 20% image overlap area; (b) 30% image overlap area
    Experimental results of performance comparison of different matching algorithms. (a) BF first match; (b) Flann first match; (c) proposed algorithm first match; (d) BF good match; (e) Flann good match; (f) proposed algorithm good match
    Image fusion. (a) Before image fusion; (b) after image fusion
    3×3 images stitching. (a) Stitched original images; (b) AutoStitch stitching; (c) proposed method stitching
    4×5 images stitching. (a) AutoStitch stitching; (b) proposed method stitching
    Microscopic image stitching system. (a) Motorized stage; (b) (c) part of the process of stitching images in real time
    • Table 1. Structural similarity of different types of images

      View table

      Table 1. Structural similarity of different types of images

      Type of imageThresholdNumber of feature pointsNumber of similar feature pointsSimilarity /%
      Spinal cord0.2211944821.15
      Dicotyledons0.2318950015.68
      Natural scene0.2803121.49
    • Table 2. Predicted and actual coordinates of matching points in different overlapping areas

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      Table 2. Predicted and actual coordinates of matching points in different overlapping areas

      Image overlapping area /%Predicted distanceMatch point(xyPredicted coordinate(xyActual matching point(xyX error /%Y error /%Euclidean distance
      20320,01553,746273,746276,7500.190.330.0283
      320,01490,189210,189213,1920.190.250.0667
      320,01334,115854,115857,11600.190.170.0506
      30480,01463,208343,208339,2120.250.330.03584
      480,01416,794296,794292,7960.250.160.04625
      480,01485,303365,303361,3060.250.250.02003
    • Table 3. Performance comparison of different matching algorithms

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      Table 3. Performance comparison of different matching algorithms

      Images of experimentAlgorithmLeft feature pointsRight feature pointsMatch feature pointsExcellent match pointsMatch rate /%Time consumption /s
      PollenBF8867882528.400.001
      Flann8867882730.680.001
      Ours8867883438.630.001
      Spinal cordBF2319197123192109.050.226
      Flann2319197123192219.520.035
      Ours23191971231982535.570.028
      DicotyledonBF45774379457786918.990.512
      Flann45774379457787519.120.075
      Ours457743794577126327.590.061
    • Table 4. Multi-image stitching

      View table

      Table 4. Multi-image stitching

      MethodNumber of stitched imagesMicroscope magnificationImage overlapping area /%Time consumption /s
      AutoStitch3×32003012.33
      4×53003030.39
      Ours3×3200302.84
      4×5300309.17
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    Jiaguang Huang, Zhenming Yu, Guojin Peng, Hui Gan, Lü Meini. Microscopic Image Stitching Algorithm Based on Stage Motion Information[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0837012

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    Paper Information

    Category: Digital Image Processing

    Received: Mar. 7, 2023

    Accepted: May. 4, 2023

    Published Online: Mar. 22, 2024

    The Author Email: Yu Zhenming (yumingming@vip.sina.com)

    DOI:10.3788/LOP230799

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