Assistant Professor, Konkuk University, Seoul,
Assistant Professor, Faculty of Materials Science and Engineering, Chonnam National University, Kwangju,
School of Mechanical, Materials, Manufacturing Engineering and Management, University of Nottingham, Nottingham,
(Received 14 October 2002; accepted 21 October 2003)
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.
Paper ID: JTE11755