Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1211003(2022)
Image Stitching Based on CLAHE and Improved ZNCC
Figures & Tables(19)
Fig. 4. After contrast enhancement, feature point extraction and matching results. (a) Traditional method; (b) proposed method
Fig. 6. The first and last images of the tested image sequence. (a) bark group; (b) leuven group; (c) bikes group
Fig. 7. Comparison of number of correct matching points in the bark group obtained by different algorithms
Fig. 8. Comparison of number of correct matching points in the leuvne group obtained by different algorithms
Fig. 9. Comparison of number of correct matching points in the bikes group obtained by different algorithms
Fig. 10. Original images of mosaic image. (a) The first group; (b) the second group; (c) the third group
Fig. 11. The first group. (a) Direct extraction; (b) contrast enhanced by the proposed algorithm and then extraction; (c) screening by the proposed algorithm
Fig. 12. The second group. (a) Direct extraction; (b) contrast enhanced by the proposed algorithm and then extraction; (c) screening by the proposed algorithm
Fig. 13. The third group. (a) Direct extraction; (b) contrast enhanced by the proposed algorithm and then extraction; (c) screening by the proposed algorithm
Fig. 14. Image mosaic results of the first group. (a) Classical SIFT algorithm; (b) algorithm in Ref. [2]; (c) proposed algorithm
Fig. 15. Image mosaic results of the second group. (a) Classical SIFT algorithm; (b) algorithm in Ref. [2]; (c) proposed algorithm
Fig. 16. Image mosaic results of the third group. (a) Classical SIFT algorithm; (b) algorithm in Ref. [2]; (c) proposed algorithm
Table 1. Comparison of number of correct matching points and correct matching rate obtained by using different window sizes and different thresholds
View tableTable 1. Comparison of number of correct matching points and correct matching rate obtained by using different window sizes and different thresholds
Window size Threshold 0.8 Threshold 0.7 Threshold 0.6 Threshold 0.5 Threshold 0.4 /% /% /% /% /% 210 95.89 286 96.95 339 97.13 388 97.24 420 97.45 251 98.05 364 97.59 441 97.78 478 97.75 506 97.68 280 97.22 408 98.08 481 98.16 530 97.79 546 97.67 286 97.95 437 97.98 516 98.10 547 97.85 562 97.91
Table 2. Correct matching rate of each group of images under different algorithms
View tableTable 2. Correct matching rate of each group of images under different algorithms
Data set SIFT SURF ORB Ours bark 1&2 99.62 92.68 99.06 99.76 bark 1&3 100.00 96.61 100.00 100.00 bark 1&4 100.00 89.58 99.75 100.00 bark 1&5 99.78 88.64 100.00 100.00 bark 1&6 100.00 60.00 100.00 100.00 leuven 1&2 98.77 94.66 99.06 99.40 leuven 1&3 98.36 88.66 99.00 99.39 leuven 1&4 97.96 90.79 99.10 99.13 leuven 1&5 97.45 81.11 99.06 98.21 leuven 1&6 95.02 79.21 99.09 97.78 bikes 1&2 98.25 96.14 99.06 98.32 bikes 1&3 96.43 94.96 98.27 98.36 bikes 1&4 97.02 90.61 98.17 100.00 bikes 1&5 94.27 86.99 95.77 95.00 bikes 1&6 88.66 84.00 90.55 90.25
Table 3. Correct matching rate of each group of images before and after using proposed algorithm
View tableTable 3. Correct matching rate of each group of images before and after using proposed algorithm
Date set Direct extraction After enhancement After screening Group 1 67.86 68.77 70.74 Group 2 93.97 92.91 95 Group 3 82.89 91.87 97.29
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Guanqun Huo, Jinbo Lu, Shengxiang Luo. Image Stitching Based on CLAHE and Improved ZNCC[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1211003
Paper Information
Category: Imaging Systems
Received: May. 21, 2021
Accepted: Aug. 31, 2021
Published Online: May. 23, 2022
The Author Email: Jinbo Lu (lujb@swpu.edu.cn)
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