Abstract
Fabric Weave Pattern Detection Based on Fuzzy Clustering and Texture Orientation Features in Wavelet Domain
Highlights
Textile fabrics constitute a large proportion of the total cost of production in garment manufacturing
We propose a novel method for solving the issues to recognize the weave pattern of woven fabric
In this paper we proposed a method for automatic recognition of basic weave pattern of woven fabric
Summary
Textile fabrics constitute a large proportion of the total cost of production in garment manufacturing. Quality control of fabrics before garment manufacturing is essential to ensure the quality of finished products and to increase the efficiency of the manufacturing process. Evaluation of fabric weave pattern in textile industry depends on manual operation with the help of microscope [1-8]. This process is very tedious and time consuming. An optimal solution for this would be to automatically inspect from the fabric as it is being produced and to alert the maintenance personnel when the machine needs attention to change process to improve product quality. Automated visual inspection of fabric texture increases the efficiency of production system and improves quality of product [9-13]
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