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 | 89 | 2015 |
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 |
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 |
Automatic inspection of yarn-dyed fabric density by mathematical statistics of sub-images J Zhang, R Pan, W Gao, D Zhu The Journal of The Textile Institute 106 (8), 823-834, 2015 | 23 | 2015 |
Automatic detection of layout of color yarns of yarndyed fabric. Part 1: Singlesystemmélange color fabrics J Zhang, R Pan, W Gao, D Zhu Color Research & Application 40 (6), 626-636, 2015 | 19 | 2015 |
Perception and preference analysis of fashion colors: Solid color shirts Q Jiang, LC Chen, J Zhang Sustainability 11 (8), 2405, 2019 | 18 | 2019 |
A computer vision-based system for automatic detection of misarranged warp yarns in yarn-dyed fabric. Part I: continuous segmentation of warp yarns J Zhang, J Wang, R Pan, J Zhou, W Gao The journal of the Textile Institute 109 (5), 577-584, 2018 | 16 | 2018 |
Customize my helmet: a novel algorithmic approach based on 3D head prediction J Zhang, Y Luximon, P Shah, K Zhou, P Li Computer-Aided Design 150, 103271, 2022 | 15 | 2022 |
Intelligent recognition of dominant colors for Chinese traditional costumes based on a mean shift clustering method L Xing, J Zhang, H Liang, Z Li The journal of the Textile Institute 109 (10), 1304-1314, 2018 | 15 | 2018 |
A user biology preference prediction model based on the perceptual evaluations of designers for biologically inspired design S Luo, Y Zhang, J Zhang, J Xu Symmetry 12 (11), 1860, 2020 | 14 | 2020 |
An efficient method for density measurement for high-tightness woven fabrics J Zhang, R Pan, J Wang, W Gao, Y Han Textile research journal 87 (3), 329-339, 2017 | 12 | 2017 |
Modeling 3D geometric growth patterns and variations of Children's heads J Zhang, F Fu, X Shi, Y Luximon Applied Ergonomics 108, 103933, 2023 | 11 | 2023 |
Weave pattern recognition by measuring fiber orientation with Fourier transform J Zhang, R Pan, W Gao, J Xiang The Journal of the Textile institute 108 (4), 622-630, 2017 | 11 | 2017 |
Age and sex factors integrated 3D statistical models of adults' heads J Zhang, H Iftikhar, P Shah, Y Luximon International Journal of Industrial Ergonomics 90, 103321, 2022 | 10 | 2022 |
A brief review of 3D face reconstruction methods for face-related product design J Zhang, K Zhou, Y Luximon Joint Conference of the Asian Council on Ergonomics and Design and the …, 2021 | 10 | 2021 |
Automatic detection of layout of color yarns of yarndyed fabric. Part 2: Region segmentation of doublesystemMélange color fabric J Zhang, R Pan, W Gao, B Xu, W Li Color Research & Application 41 (6), 626-635, 2016 | 10 | 2016 |
3D-guided facial shape clustering and analysis J Zhang, K Zhou, Y Luximon, P Li, H Iftikhar Multimedia Tools and Applications 81 (6), 8785-8806, 2022 | 9 | 2022 |
A computer vision-based system for automatic detection of misarranged color warp yarns in yarn-dyed fabric. Part III: yarn layout proofing J Wang, J Zhang, L Wang, R Pan, J Zhou, W Gao The Journal of the Textile Institute 111 (11), 1614-1622, 2020 | 8 | 2020 |
3D statistical head modeling for face/head-related product design: a state-of-the-art review J Zhang, Y Luximon, P Shah, P Li Computer-Aided Design 159, 103483, 2023 | 7 | 2023 |