Optics and Precision Engineering, Volume. 30, Issue 3, 350(2022)

Adaptive Canny operator edge detection under strong noise

Yuhan LIU, He YAN*, Zaozao CHEN, Xiaotang WANG, and Junbin HUANG
Author Affiliations
  • Liangjiang College of Artificial Intelligence, Chongqing University of Technology, Chongqing401147, China
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    Figures & Tables(8)
    Lena grayscale histogram detected by different methods
    Contrast images of threshold segmentation
    Ten percent noise pollution image processed by various algorithms
    Fifty percent noise pollution image processed by various algorithms
    Evaluation result of edge connection integrity
    • Table 1. PSNR values of noised and denoised images

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      Table 1. PSNR values of noised and denoised images

      图 像噪 声Canny文献[11文献[12文献[13本文算法
      Lena10%25.600 47931.622 08232.661 47525.642 69736.030 233
      50%16.948 48129.608 74631.455 46620.939 41632.397 528
      铭牌10%23.545 94823.739 41525.331 40322.669 11726.669 650
      50%17.099 90623.668 01424.562 22721.588 19824.693 479
      House10%23.411 27228.979 86433.464 27824.103 21035.038 253
      50%16.867 13922.779 47826.984 74219.073 68730.557 406
      Cameraman10%22.021 61724.089 16927.452 41223.386 59930.779 394
      50%15.580 69122.132 38423.215 09418.181 33324.912 216
    • Table 2. SSIM values of noised and denoised images

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      Table 2. SSIM values of noised and denoised images

      图 像噪 声Canny文献[11文献[12文献[13本文算法
      Lena10%0.548 6230.894 5130.935 0610.743 0210.949 691
      50%0.163 6440.868 7530.910 7830.467 3980.926 842
      铭牌10%0.594 0460.767 3980.771 6490.713 3970.895 915
      50%0.229 6550.744 6650.756 5340.476 3940.834 404
      House10%0.436 0420.914 3960.920 3130.883 7930.934 269
      50%0.184 8310.906 3730.808 8700.500 0220.909 811
      Cameraman10%0.521 5960.868 0440.882 8390.825 2410.963 468
      50%0.184 7320.819 6790.843 9000.510 5160.878 805
    • Table 3. Average F-measure of 500 images at noise-free and noise cases

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      Table 3. Average F-measure of 500 images at noise-free and noise cases

      噪 声Canny算法文献[11文献[12文献[13本文算法
      无噪声0.841 5660.797 8090.813 3710.817 6070.869 438
      含10%噪声0.614 5410.740 8690.773 6560.761 5580.827 385
      含20%噪声0.595 7520.739 9410.749 5520.692 0090.812 981
      含30%噪声0.560 0350.694 1370.737 8300.665 9240.803 712
      含40%噪声0.541 3860.680 5570.721 5070.621 5480.798 007
      含50%噪声0.532 8220.678 2630.716 5370.600 6520.772 506
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    Yuhan LIU, He YAN, Zaozao CHEN, Xiaotang WANG, Junbin HUANG. Adaptive Canny operator edge detection under strong noise[J]. Optics and Precision Engineering, 2022, 30(3): 350

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    Paper Information

    Category: Information Sciences

    Received: Jul. 1, 2021

    Accepted: --

    Published Online: Mar. 4, 2022

    The Author Email: He YAN (cqyanhe@163.com)

    DOI:10.37188/OPE.20223003.0350

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