Sijie Shao, Ph.D.
Affiliations: | 2006 | Hong Kong Polytechnic University (Hong Kong) |
Area:
Textile TechnologyGoogle:
"Sijie Shao"Parents
Sign in to add mentorJohn Xin | grad student | 2006 | Hong Kong Polytechnic University (Hong Kong) | |
(An investigation of texture effects on instrumental and visual colour difference evaluation.) |
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Publications
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Dong W, Shen HL, Du X, et al. (2016) Spectral bidirectional texture function reconstruction by fusing multiple-color and spectral images. Applied Optics. 55: 10400-10408 |
Shen HL, Ge QG, Zheng ZH, et al. (2016) Eliminating material dependency in spectra measurement via non-neighbouring band regression Coloration Technology. 132: 186-192 |
Luo L, Shen HL, Shao SJ, et al. (2016) Colour matching comparison between spectrophotometric and multispectral imaging measurements Coloration Technology. 132: 17-27 |
Zou Z, Shen HL, Du X, et al. (2016) Recoloring textile fabric images based on improved fuzzy clustering Color Research and Application |
Luo L, Shen HL, Shao SJ, et al. (2016) Color specification of a single strand of yarn from a multispectral image Color Research and Application. 41: 500-512 |
Luo L, Shen HL, Shao SJ, et al. (2015) Empirical model for matching spectrophotometric reflectance of yarn windings and multispectral imaging reflectance of single strands of yarns. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 32: 1459-67 |
Luo L, Shen H, Shao S, et al. (2015) A multispectral imaging approach to colour measurement and colour matching of single yarns without winding Coloration Technology. 131: 342-351 |
Luo L, Shen H, Shao S, et al. (2015) An efficient method for solid-colour and multicolour region segmentation in real yarn-dyed fabric images Coloration Technology. 131: 120-130 |
Luo L, Shen H, Shao S, et al. (2015) A novel method for weft and warp yarn segmentation in multicolour yarn-dyed fabric images Coloration Technology. 131: 165-171 |
Shen HL, Yao JF, Li C, et al. (2014) Channel selection for multispectral color imaging using binary differential evolution. Applied Optics. 53: 634-42 |