Acta Optica Sinica, Volume. 37, Issue 10, 1010001(2017)
A Fast Image Correction Method for Multi-Target QR Codes
Fig. 1. Symbolic characteristics of QR codes. (a) Structure of QR codes; (b) detection patterns
Fig. 2. Results comparison of QR codes binarization. (a) Original images of QR codes; (b) Otsu algorithm; (c) the proposed algorithm
Fig. 3. Search the central point of detection pattern. (a) Line scan; (b) column scan; (c) adjust to the center position; (d) judge the relationship between S1 and S2
Fig. 5. Search of QR codes vertices. (a) Position analysis of detection pattern points; (b) contour tracing start point; (c) vertices of detection patterns; (d) the fourth vertex
Fig. 7. Correction results in different environments. (a) Normal illumination; (b) low light environment; (c) complex background environment
Fig. 9. Analysis of different algorithms. (a) Ref. [5] algorithm; (b) Ref. [13] algorithm; (c) Ref. [8] algorithm
|
|
Get Citation
Copy Citation Text
Weili Ding, Mingkui Wang, Zhao Gu, Wenfeng Wang. A Fast Image Correction Method for Multi-Target QR Codes[J]. Acta Optica Sinica, 2017, 37(10): 1010001
Category: Image Processing
Received: Apr. 20, 2017
Accepted: --
Published Online: Sep. 7, 2018
The Author Email: Mingkui Wang (wang_mk@yeah.net)