个人资料：

职称：讲师/硕士生导师

通讯地址：必赢线路检测中心明理楼D区408室

电子邮箱：minxu@tjnu.edu.cn

主要经历：

(1)2023.02-至今必赢线路检测中心,智能科学与技术系,讲师

(2)2018.09-2022.06天津大学电气自动化与信息工程学院,信息与通信工程专业,博士

主要研究方向：

计算机视觉、机器学习、深度学习、数字图像处理、最优化算法、光电检测与光信息处理技术等。

代表论著、学术著作：

[1]Xu M, Tang C, Hong N, et al. MDD-Net: A generalized network for speckle removal with structure protection and shape preservation for various kinds of ESPI fringe patterns[J]. Optics and Lasers in Engineering, 2022, 154, 107017. (SCIE, JCR Q1,中科院2区,影响因子IF= 5.666)

[2]Xu M, Tang C, Shen Y, et al. PU-M-Net for phase unwrapping with speckle reduction and structure protection in ESPI. Optics and Lasers in Engineering, 2022, 151: 106824. (SCIE, JCR Q1,中科院2区,影响因子IF= 5.666)

[3]Xu M, Tang C, Shen Y, et al. Batch fringe extraction from the single FPP fringe pattern based on a triple serial and parallel convolution neural network. Applied Physics B, 2021, 127: 153. (SCIE, JCR Q3,中科院3区,影响因子IF= 2.171)

[4]Xu M, Tang C, Hao F, et al. Texture preservation and speckle reduction in poor optical coherence tomography using the convolutional neural network[J]. Medical image analysis, 2020, 64: 101727. (SCIE, JCR Q1,中科院1区,影响因子IF= 13.828)

[5]Xu M, Tang C, Chen M, et al. Texture preservation and speckle reduction in optical coherence tomography using the shearlet-based total variation algorithm. Optics and Lasers in Engineering, 2019,122: 265-283. (SCIE, JCR Q1,中科院2区,影响因子IF= 5.666)

[6]Xu M, Shen J, Thomas J C, et al. Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering. Optics Express, 2018, 26(1), 15-31. (SCIE, JCR Q1,中科院2区,影响因子IF= 3.383)

[7]徐敏,申晋,黄钰,等.基于颗粒粒度信息分布特征的动态光散射加权反演[J].物理学报, 2018, 67(13): 293-307. (SCIE, JCR Q4,中科院4区,影响因子IF= 0.819)

[8]Xu M, Shen J, Zhu X, et al. R. Recovery of bimodal particle size distributions with multiangle dynamic light scattering [J].光子学报, 2017, 6(2): 0229001. (EI, ESCI,中科院4区)

[9] Shen Y, Tang C,Xu M, et al. A DWT-SVD based adaptive color multi-watermarking scheme for copyright protection using AMEF and PSO-GWO[J], Expert Systems with Applications, 2021, 168: 114414. (SCIE, JCR Q1,中科院1区,影响因子IF= 8.665)

[10] Wu T, Tang C,Xu M, et al. ULNet for the detection of coronavirus (COVID-19) from chest X-ray images. Computers in biology and medicine, 2021, 137: 104834. (SCIE, JCR Q1,中科院2区,影响因子IF= 6.698)

[11] Chen M, Tang C,Xu M, et al. Binarization of optical fringe patterns with intensity inhomogeneities based on modified FCM algorithm. Optics and Lasers in Engineering. 2019, 123: 14-19. (SCIE, JCR Q1,中科院2区,影响因子IF= 5.666)

[12] Chen M, Tang C,Xu M, et al. A clustering framework based on FCM and texture features for denoising ESPI fringe patterns with variable density. Optics and Lasers in Engineering. 2019, 119: 77-86. (SCIE, JCR Q1,中科院2区,影响因子IF= 5.666)

[13] Shen Y, Tang C,Xu M, Lei Z. Optical asymmetric single-channel cryptosystem based on QZ synthesis for color images. Optics and Laser Technology, 2022, 153: 108254. (SCIE, JCR Q1,中科院2区,影响因子IF= 4.939)

[14] Shen Y, Tang C,Xu M, et al. Optical selective encryption based on the FRFCM algorithm and face biometric for the medical image [J], Optics and Laser Technology, 2021, 138, 106911. (SCIE, JCR Q1,中科院2区,影响因子IF= 4.939)

[15] Rui Han, Tang C,Xu M, et al. A Retinex-based variational model for noise suppression and nonuniform illumination correction in corneal confocal microscopy images. Physics in Medicine and Biology, 2023, 68(2): 025025. (SCIE, JCR Q2,中科院2区,影响因子IF= 4.174)

[16] Chen M, Tang C,Xu M, et al. Binarization of ESPI fringe patterns based on local entropy. Optics Express, 2019, 27(22): 32378-32391. (SCIE, JCR Q1,中科院2区,影响因子IF= 3.383)

[17] Liang B, Tang C, Zhang W,Xu M, et al. N-Net: an UNet architecture with dual encoder for medical image segmentation. Signal Image and Video Processing, 2023. (SCIE, JCR Q4,中科院4区,影响因子IF=1.583)

[18] Li J, Tang C,Xu M, et al. Uneven wrapped phase pattern denoising using a deep neural network. Applied Optics, 2022, 61(24): 7150-7157. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[19] Liang B, Tang C,Xu M, et al. Fusion network based on the dual attention mechanism and atrous spatial pyramid pooling for automatic segmentation in retinal vessel images. Journal of the Optical Society of America A-Optics Image Science and Vision, 2022, 39(8): 1393-1402. (SCIE, JCR Q3,中科院3区,影响因子IF= 2.104)

[20] Li J, Tang C,Xu M, et al. DBDNet for denoising in ESPI wrapped phase patterns with high density and high speckle noise[J]. Applied Optics, 2021, 60(32): 10070-10079. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[21] Shen Z, Xi M, Tang C,Xu M, et al. Double-path parallel convolutional neural network for removing speckle noise in different types of OCT images. Applied Optics, 2021, 60(15): 4345-4355. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[22] Xie H, Tang C,Xu M, et al. Improved SSD network for accurate detection of optic disc and fovea and application in excyclotropia screening. Journal of the Optical Society of America A-Optics Image Science and Vision, 2021, 38(1) 10-18. (SCIE, JCR Q3,中科院3区,影响因子IF= 2.104)

[23] Liu C, Tang C,Xu M, et al. Binarization of ESPI fringe patterns based on an M-net convolutional neural network[J]. Applied Optics, 2020, 59(30): 9598-9606. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[24] Liu C, Tang C,Xu M, et al. Skeleton extraction and inpainting from poor, broken ESPI fringe with an M-net convolutional neural network[J]. Applied Optics, 2020, 59(17): 5300-5308. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[25] Hong N, Tang C,Xu M, et al. Phase retrieval for objects in rain based on a combination of variational image decomposition and variational mode decomposition in FPP. Applied Optics, 2022, 61(23): 6704-6713. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[26] Hong N, Tang C,Xu M, et al. Variational image decomposition model TGV-Hilbert-BM3D for phase retrieval in FPP and its application for an on-site wall surface bulge. Applied Optics, 2022, 61(10): 2733-2742. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[27] Zhao Q, Tang C,Xu M, et al. Method with high accuracy for phase retrieval in Fourier FPP based on the modified FCM and variational image decomposition[J]. Journal of the Optical Society of America A-Optics Image Science and Vision, 2021, 38(12): 1783-1792. (SCIE, JCR Q3,中科院3区,影响因子IF= 2.104)

[28] Zhao Q, Tang C,Xu M, et al. Dynamic shape measurement for objects with patterns by Fourier fringe projection profilometry based on variational decomposition and multi-scale Retinex. Applied Optics, 2021, 60(33): 10322-10331. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[29] Han R, Tang C,Xu M, et al. Enhancement method with naturalness preservation and artifact suppression based on an improved Retinex variational model for color retinal images. Journal of the Optical Society of America A-Optics Image Science and Vision, 2023, 40(1): 155-164. (SCIE, JCR Q3,中科院3区,影响因子IF= 2.104)

[30] Han R, Tang C,Xu M, et al. Joint enhancement and denoising in electronic speckle pattern interferometry fringe patterns with low contrast or uneven illumination via an oriented variational Retinex model[J]. Journal of the Optical Society of America A-Optics Image Science and Vision, 2022, 39(2): 239-249. (SCIE, JCR Q3,中科院3区,影响因子IF= 2.104)

[31] Chen L, Tang C,Xu M, et al. Binarization for low-quality ESPI fringe patterns based on Preprocessing and Clustering[J]. Applied Optics, 2021, 60(31): 9866-9874. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[32] Chen L, Tang C,Xu M, et at. Enhancement and denoising method for low-quality MRI, CT images via the sequence decomposition Retinex model and haze removal algorithm[J]. Medical & Biological Engineering & Computing, 2021, 59: 2433-2448. (SCIE, JCR Q2,中科院3区,影响因子IF= 3.079)

[33] Chen L, Tang C, Huang Z,Xu M, et at. Contrast enhancement and speckle suppression in OCT images based on a selective weighted variational enhancement model and an SP-FOOPDE algorithm. Journal Of The Optical Society Of America A-Optics Image Science And Vision, 2021, 38(7): 973-984. (SCIE, JCR Q3,中科院3区,影响因子IF= 2.104)

[34] Huang Z, Tang C,Xu M, et al. Both speckle reduction and contrast enhancement for optical coherence tomography via sequential optimization in the logarithmic domain based on a refined Retinex model. Applied optics, 2020, 59(35): 11087-11097. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[35] Huang Z, Tang C,Xu M, et al. Joint Retinex-based variational model and CLAHE-in-CIELUV for enhancement of low-quality color retinal images[J]. Applied Optics, 2020, 59(28): 8628-8637. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[36] Hu Y, Tang C,Xu M, et al. Selective retinex enhancement based on the clustering algorithm and BM3D for OCT images. Applied optics. 2019, 58(36): 9861-9869. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[37] Chen M, Tang C,Xu M, et al. The oriented bilateral filtering method for removal of speckle noise in electronic speckle pattern interferometry fringes. Applied Physics B-Lasers and Optics, 2019, 125(7): 121. (SCIE, JCR Q3,中科院3区,影响因子IF= 2.171)

[38] Xu W, Tang C,Xu M, et al. Fuzzy c-means clustering based segmentation and the filtering method for discontinuous ESPI fringe patterns. Applied optics. 2019, 58(6): 1442-1450. (SCIE, JCR Q3,中科院4区,影响因子IF= 1.905)

[39] Xu Y, Shen J, Thomas JC, Wu F, Zhang W,Xu M, Mu T, Yuan X. Multi-angle dynamic light scattering analysis based on successive updating of the angular weighting[J]. Optics express. 2019, 27(15): 21914-21927. (SCIE, JCR Q1,中科院2区,影响因子IF= 3.383)

[40]徐亚南,申晋,徐敏,等.基于相关函数重构的动态光散射偏差加权反演[J].光学学报, 2018, 38(12): 1229002. (EI, ESCI,中科院4区)黄

[41]黄钰,申晋,徐敏,等.基于核矩阵扩展的动态光散射截断奇异值分解反演[J].光子学报, 2018, 47(7): 0729001. (EI, ESCI,中科院4区)

[42]黄钰,申晋,徐敏,等.基于Mie散射光强的多角度动态光散射复合角度加权方法[J].光子学报, 2018, 47(4): 0429002. (EI, ESCI,中科院4区)