Investigation of cross‐sectional image analysis method to determine the blending ratio of polyester/cotton yarn

S Lu, B Xin, N Deng, L Wang, W Wang - Journal of Microscopy, 2020 - Wiley Online Library
It has been considered as a great challenge to identify the blending ratio of polyester/cotton
yarn in the field of textile industry. A new digital cross‐sectional image processing method …

Investigation of cross‐sectional image analysis method to determine the blending ratio of polyester/cotton yarn.

S LU, B XIN, N DENG, L WANG… - Journal of …, 2020 - search.ebscohost.com
It has been considered as a great challenge to identify the blending ratio of polyester/cotton
yarn in the field of textile industry. A new digital cross‐sectional image processing method …

Investigation of cross‐sectional image analysis method to determine the blending ratio of polyester/cotton yarn

S LU, B XIN, N DENG, L WANG, W WANG - Journal of Microscopy, 2020 - infona.pl
It has been considered as a great challenge to identify the blending ratio of polyester/cotton
yarn in the field of textile industry. A new digital cross‐sectional image processing method …

Investigation of cross-sectional image analysis method to determine the blending ratio of polyester/cotton yarn

S Lu, B Xin, N Deng, L Wang… - Journal of …, 2020 - pubmed.ncbi.nlm.nih.gov
It has been considered as a great challenge to identify the blending ratio of polyester/cotton
yarn in the field of textile industry. A new digital cross-sectional image processing method …

Investigation of cross-sectional image analysis method to determine the blending ratio of polyester/cotton yarn.

S Lu, B Xin, N Deng, L Wang, W Wang - Journal of Microscopy, 2020 - europepmc.org
It has been considered as a great challenge to identify the blending ratio of polyester/cotton
yarn in the field of textile industry. A new digital cross-sectional image processing method …