• Chinese Optics Letters
  • Vol. 18, Issue 1, 011001 (2020)
Guojun Lu1 and Hongzhan Liu2、*
Author Affiliations
  • 1College of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China
  • 2Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, Guangzhou 510006, China
  • show less
    DOI: 10.3788/COL202018.011001 Cite this Article Set citation alerts
    Guojun Lu, Hongzhan Liu. An effective interference suppression algorithm for visible light communication system based on DBSCAN[J]. Chinese Optics Letters, 2020, 18(1): 011001 Copy Citation Text show less
    (a), (b) Green channel distribution of images; (c), (d) green channel distribution of images after low-pass filter and the third-order polynomial fitting (green curve); (e), (f) the judgement through comparing with the threshold.
    Fig. 1. (a), (b) Green channel distribution of images; (c), (d) green channel distribution of images after low-pass filter and the third-order polynomial fitting (green curve); (e), (f) the judgement through comparing with the threshold.
    (a) Ideal edge, (b) real edge, (c) part of the sample image, (d) processed image after judgement, and (e) image processed by the improved algorithm.
    Fig. 2. (a) Ideal edge, (b) real edge, (c) part of the sample image, (d) processed image after judgement, and (e) image processed by the improved algorithm.
    Select a row of pixels in the image.
    Fig. 3. Select a row of pixels in the image.
    Flow chart of improved DBSCAN algorithm.
    Fig. 4. Flow chart of improved DBSCAN algorithm.
    Experimental results: (a), (d) unprocessed image; (b), (e) processed and analyzed image; (c), (f) processed image.
    Fig. 5. Experimental results: (a), (d) unprocessed image; (b), (e) processed and analyzed image; (c), (f) processed image.
    Experimental results: (a), (c) green channel distribution of unprocessed images; (b), (d) green channel distribution of processed images.
    Fig. 6. Experimental results: (a), (c) green channel distribution of unprocessed images; (b), (d) green channel distribution of processed images.
    (a), (d), (g) Sample images; (b), (e), (h) details of sample images; (c), (f), (i) images processed by the improved DBSCAN algorithm.
    Fig. 7. (a), (d), (g) Sample images; (b), (e), (h) details of sample images; (c), (f), (i) images processed by the improved DBSCAN algorithm.
    1st/B2nd/G3rd/RColor
    000Black
    001Red
    010Green
    011Yellow
    100Blue
    101Purple
    110Blue–green
    111White
    Table 1. Color of Binary Sequence
    Binary Sequence SampleOutput Sample
    000001010011Black red green yellow
    Table 2. Modulation Example
    EpsMinPts
    234567
    43.583.582.391.004.4232.76
    53.393.392.590.602.8121.10
    63.393.392.590.802.6017.97
    73.393.392.590.602.4016.72
    83.783.782.590.602.2016.51
    106.956.163.980.602.2016.51
    129.538.534.180.802.2016.51
    Table 3. Experimental BER (×103) versus Different Eps and MinPts
    Guojun Lu, Hongzhan Liu. An effective interference suppression algorithm for visible light communication system based on DBSCAN[J]. Chinese Optics Letters, 2020, 18(1): 011001
    Download Citation