[1] DAI M L, YANG F J, GENG M et al. Single color fringe projection for measuring three-dimensional shapes with discontinuities[J]. Acta Optica Sinica, 32, 0412005(2012).

[2] LIU X, WU X W. Computer-rebuilding damaged cultural relics in three dimensions[J]. Journal of Electronics & Information Technology, 23, 650-656(2001).

[3] WANG L H, YUAN B Z. Feature point detection for 3D scattered point cloud model[J]. Signal Processing, 27, 932-938(2011).

[4] BI Y, PAN M Q, ZHANG S et al. Overview of 3D point cloud super-resolution technology[J]. Chinese Optics, 15, 210-223(2022).

[5] JAVAHERI A, BRITES C, PEREIRA F et al. Subjective and objective quality evaluation of 3D point cloud denoising algorithms[C], 1-6(2017).

[6] ZHANG D D, GONG W H. 3D mesh models denoising algorithms: a survey[J]. Software Guide, 20, 235-242(2021).

[7] LI M Y, LIU Z L, ZHAO W X et al. Blade reflection suppression technology based on surface structured light on-machine detection[J]. Chinese Optics, 15, 464-475(2022).

[8] YUAN H, PANG J K, MO J W. Denoising algorithm for bilateral filtered point cloud based on noise classification[J]. Journal of Computer Applications, 35, 2305-2310(2015).

[9] LU X Q, LIU X H, DENG Z G et al. An efficient approach for feature-preserving mesh denoising[J]. Optics and Lasers in Engineering, 90, 186-195(2017).

[10] WU L S, SHI H L, CHEN H W. Denoising of three-dimensional point data based on classification of feature information[J]. Optics and Precision Engineering, 24, 1465-1473(2016).

[11] ZHANG Y C, LI Y B, FU X B. Point cloud segmentation de-noising method based on curvature constraint[J]. Acta Metrologica Sinica, 41, 1218-1225(2020).

[12] ZHAO F Q, ZHOU M Q. Hierarchical point cloud denoising algorithm[J]. Optics and Precision Engineering, 28, 1618-1625(2020).

[13] WU J W, JIAO W Z, ZHENG H R. 3D point cloud filtering by adaptive neighborhood[J]. Journal of Chinese Computer Systems, 42, 191-195(2021).

[14] GALEA C, GUILLEMOT C. Denoising of 3D point clouds constructed from light fields[C], 1882-1886(2019).

[15] LEAL E, SANCHEZ-TORRES G, BRANCH J W. Sparse regularization-based approach for point cloud denoising and sharp features enhancement[J]. Sensors, 20, 3206(2020).

[16] REN B, CUI J Y, LI G et al. A three-dimensional point cloud denoising method based on adaptive threshold[J]. Acta Photonica Sinica, 51, 0212003(2022).

[17] LONG J L. Absolute phase map recovery with digital multiple wavelength fringe projections in three-dimensional measurement[D](2016).

[18] ZHAO J D, YANG F H, LIU A J. Near outlier detection of scattered point cloud[J]. Journal of Computer Applications, 35, 1089-1092, 1128(2015).

[19] ZHAO K, XU Y C, LI Y L et al. Large-scale scattered point-cloud denoising based on VG-DBSCAN algorithm[J]. Acta Optica Sinica, 38, 1028001(2018).

[20] ZHANG J M, CHEN F J, LONG J L. Point cloud filtering algorithm based on image processing[J]. Laser & Optoelectronics Progress, 58, 0610015(2021).

[21] DU Q S, LI D D, CHEN H et al. PIN tip extraction from 3D point cloud of structured light[J]. Chinese Journal of Liquid Crystals and Displays, 36, 1331-1340(2021).

[22] ZENG Y Y, XIE G S, ZHANG J C. Weak-light image segmentation based on intercept histogram and Otsu fusion[J]. Laser & Optoelectronics Progress, 58, 2010016(2021).

[23] LI L L, DENG S X, DING X H. Binarization algorithm based on image partition derived from Da-Jing method[J]. Control & Automation, 21, 76-77(2005).

[24] FAN Q Z, WU H, LIN Z. Medical image segmenta-tion based on morphology and region growth method[J]. Mechanical & Electrical Technology, 26-29(2019).

[25] JU Z Y, ZHAI C Y, ZHANG W X. Color commodity label image segmentation method based on SVM and region growth[J]. Electronic Science and Technology, 34, 69-74(2021).