• Laser & Optoelectronics Progress
  • Vol. 56, Issue 12, 121007 (2019)
Qisheng Mei, Min Wang*, and Qun Zhou
Author Affiliations
  • Key Laboratory of Opto-Electronic Science and Technology for Medicine of the Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian 350007, China
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    DOI: 10.3788/LOP56.121007 Cite this Article Set citation alerts
    Qisheng Mei, Min Wang, Qun Zhou. Method for Detecting Multi-Noise Interference Fringe Images[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121007 Copy Citation Text show less
    Flow chart of interference fringe processing
    Fig. 1. Flow chart of interference fringe processing
    Equalization processing of histogram. (a) Original image of interference fringe; (b) equalization result of histogram
    Fig. 2. Equalization processing of histogram. (a) Original image of interference fringe; (b) equalization result of histogram
    Preprocessing of interference image
    Fig. 3. Preprocessing of interference image
    Hole-filling algorithm. (a) Original image; (b) complementary image; (c) image inverted by boundary point; (d) erosion image; (e) intersection of erosion image and complementary image; (f) filled hole image
    Fig. 4. Hole-filling algorithm. (a) Original image; (b) complementary image; (c) image inverted by boundary point; (d) erosion image; (e) intersection of erosion image and complementary image; (f) filled hole image
    Effect diagram of hole-filling
    Fig. 5. Effect diagram of hole-filling
    Template of Rosen algorithm
    Fig. 6. Template of Rosen algorithm
    Processing diagram of skeleton extraction algorithm
    Fig. 7. Processing diagram of skeleton extraction algorithm
    Effect diagram of deburring
    Fig. 8. Effect diagram of deburring
    Level calibration of interference fringes
    Fig. 9. Level calibration of interference fringes
    Processing resultby interference fringe detection algorithm. (a) Original image of interference fringe; (b) effect diagram of processing
    Fig. 10. Processing resultby interference fringe detection algorithm. (a) Original image of interference fringe; (b) effect diagram of processing
    Qisheng Mei, Min Wang, Qun Zhou. Method for Detecting Multi-Noise Interference Fringe Images[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121007
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