Development of Fabric Image Models and Invariance Property of Variance-Area Curve Within Fabric

2-D image;3-D image;fabric image model;fabric quality rating;fabric prediction;invariance property;variance-area curves

Han, Dong ; Larry K. Norris, Committee Member,Warren J. Jasper, Committee Co-Chair,Moon W. Suh, Committee Co-Chair,Han, Dong ; Larry K. Norris ; Committee Member ; Warren J. Jasper ; Committee Co-Chair ; Moon W. Suh ; Committee Co-Chair

University:North Carolina State University

关键词: 2-D image;    3-D image;    fabric image model;    fabric quality rating;    fabric prediction;    invariance property;    variance-area curves;   

Others  :  https://repository.lib.ncsu.edu/bitstream/handle/1840.16/1315/etd.pdf?sequence=1&isAllowed=y

美国|英语

来源: null

【 摘 要 】

This thesis is concerned with the development of two prediction models for fabric quality, 2-D and 3-D images for visualization of fabric qualities, and the application of variance-area curves in fabric quality rating. Two types of variance-area curves, CV(A) curve and CB(A) curve, are introduced. They together provide a new way to judge the fabric quality quantitatively in its dependence on the measured area. An invariance property of the variance-area curves within a fabric was also investigated by using fabric prediction models and measured yarn data.Based on two different ways in which weft yarns are mapped onto a fabric, two models are developed by simulating the fabric using measured yarn data and, subsequently, 2-D macro and 3-D micro fabric imaging methods were developed. Application of variance-area curves to woven fabrics and its invariance property were also studied. These are done by using MATLAB® programs.The actual yarn data were captured by an advanced yarn measurement system incorporated by a CTT (Constant Tension Transport) unit, a 12 bit CCD line scan camera, and a program written in C, called "camera1", running on a Linux Operating System platform.