SHERP

Automatic recognition of fabric weave patterns by digital image analysis

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Authors
KANG, TAE JIN; KIM, CHANG HOON; OH, KYUNG WHA
Issue Date
1999-02
Publisher
SAGE Publications
Citation
Textile Res. J. 69(2), 77-83
Abstract
By using computer image processing and analysis, a system to detect both weave patterns and yarn color designs is developed in this study. The image of a woven fabric is captured by a Hitachi color CCD camera and converted into digital data by a Targa+32 board. Two images-transmitted and reflected-are used to detect weave patterns. From the transmitted images, warp and weft cross points and the sizes of the yarns are determined by analyzing gray value changes in both horizontal and vertical directions. Then the warp and weft crossed states are determined by analyzing the normalized aspect ratio of an ellipse-shaped image at crossed points of the fabric. Furthermore, from reflected images, the total number of yarn colors and their arrangements in the fabric are determined. An HSV color model differentiates or groups similar yarn colors. Consequently, the system allows the weave pattern, either colored or solid, and the color design of a fabric to be correctly recognized.
ISSN
0040-5175
Language
English
URI
http://hdl.handle.net/10371/11893
DOI
https://doi.org/10.1177/004051759906900201
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Material Science and Engineering (재료공학부) Journal Papers (저널논문_재료공학부)
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