[10] |
LIU X B, ZHANG Y W. Ore image segmentation method of conveyor belt based on U-Net and Res UNet models [J]. Journal of Northeastern University (Natural Science), 2019, 40(11): 1623-1629 (in Chinese).
|
[1] |
Editorial Department of China Journal of Highway and Transport. Review on China’s bridge engineering research: 2014 [J]. China Journal of Highway and Transport, 2014, 27(5): 1-96 (in Chinese).
|
[11] |
VINCENT L, SOILLE P. Watersheds in digital spaces: An efficient algorithm based on immersion simulations [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(6): 583-598.
|
[2] |
XING L Y, BAO J W, LI S M, et al. Development status and facing challenge of advanced polymer matrix composites [J]. Acta Materiae Compositae Sinica, 2016, 33(7): 1327-1338 (in Chinese).
|
[12] |
XU L L, LU H X, ZHANG M. Automatic segmentation of clustered quantum dots based on improved watershed transformation [J]. Digital Signal Processing, 2014, 34: 108-115.
|
[3] |
TE?MANN M, MOHR S, GAYETSKYY S, et al. Automatic determination of fiber-length distribution in composite material using 3D CT data [J]. EURASIP Journal on Advances in Signal Processing, 2010, 2010: 545030.
|
[13] |
RONNEBERGER O, FISCHER P, BROX T. U-net: Convolutional networks for biomedical image segmentation [M]//Medical image computing and computerassisted intervention: MICCAI 2015. Cham: Springer, 2015.
|
[4] |
ELBERFELD T, DE BEENHOUWER J, DEN DEKKER A J, et al. Parametric reconstruction of glass fiber-reinforced polymer composites from X-ray projection data: A simulation study [J]. Journal of Nondestructive Evaluation, 2018, 37(3): 62.
|
[5] |
LIU Z, QUINN K P, SPERONI L, et al. Rapid threedimensional quantification of voxel-wise collagen fiber orientation [J]. Biomedical Optics Express, 2015, 6(7): 2294-2310.
|
[6] |
GIUSTI R, ZANINI F, LUCCHETTA G. Automatic glass fiber length measurement for discontinuous fiberreinforced composites [J]. Composites Part A: Applied Science and Manufacturing, 2018, 112: 263-270.
|
[7] |
WEI X, CAO Y, FU G, et al. A counting method for complex overlapping erythrocytes-based microscopic imaging [J]. Journal of Innovative Optical Health Sciences, 2015, 8(6): 1550033.
|
[8] |
LIU X Y, WU X, SUN W, et al. Image segmentation of pellet particles based on morphological reconstruction and GMM [J]. Chinese Journal of Scientific Instrument, 2019, 40(3): 230-238 (in Chinese).
|
[9] |
GUAN T. Segmentation and classification of optical microscopic cervical cell images [D]. Changsha: National University of Defense Technology, 2015 (in Chinese).
|
[10] |
LIU X B, ZHANG Y W. Ore image segmentation method of conveyor belt based on U-Net and Res UNet models [J]. Journal of Northeastern University (Natural Science), 2019, 40(11): 1623-1629 (in Chinese).
|
[11] |
VINCENT L, SOILLE P. Watersheds in digital spaces: An efficient algorithm based on immersion simulations [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(6): 583-598.
|
[12] |
XU L L, LU H X, ZHANG M. Automatic segmentation of clustered quantum dots based on improved watershed transformation [J]. Digital Signal Processing, 2014, 34: 108-115.
|
[13] |
RONNEBERGER O, FISCHER P, BROX T. U-net: Convolutional networks for biomedical image segmentation [M]//Medical image computing and computerassisted intervention: MICCAI 2015. Cham: Springer, 2015.
|