Abstract
A quantitative fabric drape evaluation system that uses image processing technology and simple instruments has been developed. The purpose of this research is to obtain detailed quantitative information on fabric drapability from digital images captured with a commercial digital camera (or a scanner). A two-dimensional geometric drape model transformed from a drape shadow image was defined with shape parameters such as the number of nodes, the position of the nodes, and their frequency and amplitude. Statistical information including maximum, average, and variance of drape shape parameters can be obtained by using frequency analysis, as well as drape coefficients. A three-dimensional drape shape can be regenerated from its captured two-dimensional drape images with a three-dimensional simulator. The hardware required to capture drape images consists of a digital USB camera, a frame cover, and a stand to attach the camera to a traditional Cusick type drape tester. All evaluation softwares are coded with Microsoft Visual C++ and operated under Microsoft Windows 9x or above.
Keywords:
digital image, drapability, drape, fabric, geometric model, image analysis, quantitative evaluation, shape parameter, textile, textiles
Paper ID: JTE11755
DOI: 10.1520/JTE11755
ASTM International is a member of CrossRef.
Author Park, CK Affiliation Department of Textile Engineering, Konkuk University, Seoul, Korea
Author Kim, S Affiliation Chonnam National University, Kwangju, Korea
Author Yu, WR Affiliation School of Mechanical, Materials, Manufacturing Engineering and Management, University of Nottingham, Nottingham, UK
Author Park CK, Kim S, Yu WR
Title Quantitative Fabric Drape Evaluatuion System Using Image Processing Technology (Part 1: Measurement System and Geometric Model)
Symposium ,
Committee: on
