TY - JOUR
T1 - Image Processing Techniques and its Application in Water Transport through Fabrics
AU - Xiao-Yun Jiang, Xiao-Hong Zhou, Ming Weng, Jing-Jing Zheng & Yao-Xing Jiang
JO - Journal of Fiber Bioengineering and Informatics
VL - 2
SP - 88
EP - 93
PY - 2010
DA - 2010/03
SN - 3
DO - http://doi.org/10.3993/jfbi09201005
UR - https://global-sci.org/intro/article_detail/jfbi/4951.html
KW - Image processing
KW - vertical measurement
KW - revising method
KW - moisture absorbable and breathable fabric
AB - With the development of new synthetic fibres it is significant to study water transport through the fabric. Vertical wicking test is 
usually used to understand this fabric property. But the method for gaining parameters is still done manually at present. This 
paper will report an image processing technique on water transport through fabrics. Fabric images during wicking are shot for 
every 1min in 30mins. Every image can be divided into two areas to indicate fabric dryness and wetness. Finally, the wicking 
height can be calculated to understand water transport through the fabric. Considering the distortion of the vertical object image 
size far away from optical axis it is necessary to modify wicking height. Based on the vertical wicking measurement for fabric, the 
modification method took 300 mm height of the distortion image that was divided by 1 mm. A modifier formula was deduced 
based on geometry. It can improve the precision of wicking height obtained by image processing techniques. An application 
example is also described in this paper. Some fabrics were proved to have good water absorbing quality and moisture 
management. From the curve of the wicking height based on image processing techniques, initial wicking rate can explain the 
water absorbing quality and the maximum wicking height is used to illustrate moisture management.