Abstract
Technology and digital imaging have a variety of uses in automated production processes and other applicable disciplines. A novel subject of inquiry in the present era is the detection of flaws in the textile industry utilizing digital image processing methods and other learning methods. The identification of flaws in the fabric must be ensured through a quality control method. The product quality is enhanced via a mechanism for detecting fabric defects. Detection of fabric flaw becoming more and more popular in the production of high-quality textile products. This system works by using image processing, video processing and classic learning methods to recognize defects in the fabric surface.
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