Yarn-dyed fabric defect detection based on autocorrelation function and GLCM D Zhu, R Pan, W Gao, J Zhang Autex research journal 15 (3), 226-232, 2015 | 90 | 2015 |
Fabric defect detection based on a deep convolutional neural network using a two-stage strategy X Jun, J Wang, J Zhou, S Meng, R Pan, W Gao Textile Research Journal 91 (1-2), 130-142, 2021 | 76 | 2021 |
A study of the relationship between clothing pressure and garment bust strain, and Young’s modulus of fabric, based on a finite element model L Hong, C Dongsheng, W Qufu, P Ruru Textile Research Journal 81 (13), 1307-1319, 2011 | 60 | 2011 |
Automatic inspection of woven fabric density of solid colour fabric density by the Hough transform R Pan, W Gao, J Liu, H Wang Fibres & Textiles in Eastern Europe 18 (4), 81, 2010 | 59 | 2010 |
Automatic recognition of woven fabric pattern based on image processing and BP neural network R Pan, W Gao, J Liu, H Wang The Journal of the Textile Institute 102 (1), 19-30, 2011 | 55 | 2011 |
Fabric image retrieval system using hierarchical search based on deep convolutional neural network J Xiang, N Zhang, R Pan, W Gao Ieee Access 7, 35405-35417, 2019 | 51 | 2019 |
Automatic detection of the layout of color yarns for yarn-dyed fabric via a FCM algorithm R Pan, W Gao, J Liu, H Wang Textile Research Journal 80 (12), 1222-1231, 2010 | 50 | 2010 |
Automatic detection of structure parameters of yarn-dyed fabric R Pan, W Gao, J Liu, H Wang, X Zhang Textile Research Journal 80 (17), 1819-1832, 2010 | 39 | 2010 |
A multi-task and multi-scale convolutional neural network for automatic recognition of woven fabric pattern S Meng, R Pan, W Gao, J Zhou, J Wang, W He Journal of Intelligent Manufacturing 32 (4), 1147-1161, 2021 | 38 | 2021 |
Clothing attribute recognition based on RCNN framework using L-Softmax loss J Xiang, T Dong, R Pan, W Gao IEEE Access 8, 48299-48313, 2020 | 35 | 2020 |
Automatic inspection of double-system-mélange yarn-dyed fabric density with color-gradient image R Pan, W Gao, J Liu, H Wang, X Qian Fibers and Polymers 12, 127-131, 2011 | 32 | 2011 |
Automatic inspection of density in yarn-dyed fabrics by utilizing fabric light transmittance and Fourier analysis J Zhang, R Pan, W Gao Applied Optics 54 (4), 966-972, 2015 | 31 | 2015 |
Dynamic measurement of fabric wrinkle recovery angle by video sequence processing L Wang, J Liu, R Pan, W Gao Textile research journal 84 (7), 694-703, 2014 | 30 | 2014 |
Measuring thread densities of woven fabric using the Fourier transform R Pan, W Gao, Z Li, J Gou, J Zhang, D Zhu Fibres & Textiles in Eastern Europe, 35-40, 2015 | 29 | 2015 |
Automatic recognition of woven fabric patterns based on pattern database R Pan, W Gao, J Liu, H Wang Fibers and Polymers 11, 303-308, 2010 | 28 | 2010 |
Fabric retrieval based on multi-task learning J Xiang, N Zhang, R Pan, W Gao IEEE Transactions on Image Processing 30, 1570-1582, 2020 | 27 | 2020 |
Measuring the unevenness of yarn apparent diameter from yarn sequence images Z Li, R Pan, J Zhang, B Li, W Gao, W Bao Measurement Science and Technology 27 (1), 015404, 2015 | 27 | 2015 |
Automatic recognition of the color effect of yarn-dyed fabric by the smallest repeat unit recognition algorithm J Zhang, R Pan, W Gao, D Zhu Textile research journal 85 (4), 432-446, 2015 | 27 | 2015 |
Color clustering analysis of yarn-dyed fabric in HSL color space R Pan, W Gao, J Liu 2009 WRI World Congress on Software Engineering 2, 273-278, 2009 | 27 | 2009 |
Color measurement of segmented printed fabric patterns in lab color space from RGB digital images C Kumah, N Zhang, RK Raji, R Pan Journal of Textile Science and Technology 5 (1), 1-18, 2019 | 26 | 2019 |