Chinese Optics, Volume. 17, Issue 4, 862(2024)
Binocular 3D reconstruction method based on interpolation super-resolution
Fig. 2. Block diagram of composed Lagrange and cubic interpolations algorithm
Fig. 3. Combination graph of Lagrange and cubic polynomial interpolations. (a) Lagrange polynomial interpolation; (b) cubic polynomial interpolation
Fig. 4. Flowchart of image enhancement algorithm based on wavelet transform and dual histogram equalization fusion
Fig. 5. Experimental results of image enhancement. (a) Original images; (b) the results of histogram equalization; (c) the results of wavelet transform; (d) the results of the proposed algorithm
Fig. 6. Enhanced results of acquired images. (a) Acquired images; (b) enhanced images
Fig. 7. (a) Two-dimensional Gaussian distribution diagram and (b) the Gaussian weighted convolution block
Fig. 8. Pixel value transformation results of neighborhood windows based on interpolation super-resolution. (a) Neighborhood windows of left image; (b) neighborhood windows of right image; (c) pixel value transformation results in neighborhood window
Fig. 9. Result of SLIC algorithm. (a) Captured image; (b) superpixel segmentation image; (c) edge image
Table 1. Comparison of processing results of three image enhancement algorithms with respect to the standard image
View tableView in ArticleTable 1. Comparison of processing results of three image enhancement algorithms with respect to the standard image
Name Method DE NCC CII PSNR SSIM Cameraman Histogram 6.7703 0.9848 0.8039 19.2229 0.6916 Wavelet 4.4301 0.9888 0.7131 17.6452 0.4708 Proposed algorithm 7.1149 0.9980 1.0132 24.5250 0.8788 Lena Histogram 7.3383 0.9862 0.9051 19.3935 0.7784 Wavelet 5.0992 0.9846 0.7341 17.0583 0.5613 Proposed algorithm 7.4317 0.9921 1.0088 22.1287 0.8171 Barbara Histogram 7.3816 0.9892 0.8492 18.2246 0.8147 Wavelet 6.1788 0.9824 0.7005 17.9306 0.5767 Proposed algorithm 7.5339 0.9908 1.0132 22.2251 0.8343
Table 2. Experimental parameters
View tableView in ArticleTable 2. Experimental parameters
Parameter Value Sample size 16 mm×8 mm×6.5 mm FOV of CCD camera 30 mm×20 mm Image resolution 640 pixels×480 pixels Focal length f 6 mm Object distance 180 mm Baseline distance 49.38 mm
Table 3. Experimental results of three-dimensional reconstruction
View tableView in ArticleTable 3. Experimental results of three-dimensional reconstruction
Convex surface Trapezoidal surface Angular surface Semicircular surface Concave surface Sample image 
Acquired image 
Reconstructed image 
Table 4. Comparison of measurement results for three reconstruction methods
View tableView in ArticleTable 4. Comparison of measurement results for three reconstruction methods
Name of Curves Method in this paper Method in Ref. [ 27 ]Method in Ref. [ 28 ]Maximum error/mm Average error/mm Detection time/s Maximum error/mm Average error/mm Detection time/s Maximum error/mm Average error/mm Detection time/s Convex 0.2047 0.1464 1.8551 0.2756 0.2229 1.3287 0.3856 0.2684 2.5932 Trapezoidal 0.1468 0.1152 1.9173 0.4078 0.2615 1.3813 0.2378 0.1915 2.7367 Angular 0.1064 0.0768 1.8436 0.2178 0.1525 1.3102 0.1787 0.1425 2.4353 Semicircular 0.2538 0.1675 1.9362 0.3612 0.2717 1.3922 0.4101 0.3017 2.8577 Concave 0.1512 0.1278 1.8619 0.2766 0.2105 1.3247 0.2166 0.1705 2.6019 Average 0.1726 0.1267 1.8828 0.3078 0.2238 1.3474 0.2858 0.2149 2.6450
Table 5. Sample height measurement error rates
View tableView in ArticleTable 5. Sample height measurement error rates
Name of Curves CD IoU MAE/(mm) RMSE/(mm) Convex 0.2634 0.6443 0.1150 0.2742 Trapezoidal 0.2317 0.6987 0.1050 0.2791 Angular 0.1448 0.7328 0.0882 0.2488 Semicircular 0.3163 0.6166 0.1403 0.4348 Concave 0.2215 0.7065 0.1057 0.2710 Average 0.2355 0.6798 0.1108 0.3016
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Yu-hao LIU, Fu-pei WU, Shu-zhuang WU, Rui WANG. Binocular 3D reconstruction method based on interpolation super-resolution[J]. Chinese Optics, 2024, 17(4): 862
Received: Nov. 29, 2023
Accepted: --
Published Online: Aug. 9, 2024
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