Abstract
Color of cashmere fiber is a key component of textile quality inspection. However, the inspection of cashmere color was determined by human vision system, which was less accuracy and time-consuming. Computer vision system (CVS) is considered as a promising technique to objectively and precisely test color. In the present work, a novel color measurement system for cashmere was proposed. Totally 29 cashmere samples with different color were adopted as standard samples to calibrate color conversion model. The correlation coefficient of L, a, b values between the two systems was separately calculated high to 0.99, 0.96 and 0.93 for the whole samples. The proposed method was further validated by other 15 samples, indicating the accuracy of the novel CVS. Besides, due to the high accuracy and strong representativeness of the new method, the categories of cashmere, which were normally tested by subjective visual assessment, could be determined by the present results.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
