Affiliation:
1. Department of Fiber and Polymer Science, Seoul National University, Seoul, Korea
Abstract
A new objective method for evaluating fabric wrinkles involves a 3-D projecting grid technique based on image processing. The uniform grid is projected on the AATCC replica surface, and then the gridded image of each replica is captured by the image capturing system. Noise reduction and extraction of the horizontal features of the image by enhancement and horizontal filters follow, and finally the projected grid phase is analyzed. The 3-D shape of the wrinkling of each replica is reconstructed with the data calculated from the deformation of grid lines obtained from the image capturing system. Based on the reconstructed 3-D information of each replicate, the degree of wrinkling is quantified using parameters that describe the quantity of fabric wrinkling: roughness ratio, surface area ratio, wrinkle density, and power spectrum density of the fast Fourier transform. Results indicate that the grades of AATCC wrinkle recovery replicas show a good logarithmic relationship with the parameters defined in this study. The precise and reliable wrinkle grades of four colored and complicated fabric patterns are obtained by usmg the wrinkle grading equation through multiple regression of four parameters.
Subject
Polymers and Plastics,Chemical Engineering (miscellaneous)
Cited by
30 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献