Fabric Defects Detection and its Implementation in TI-OMAP

Abstract

In today’s scenario, one of the most frequent problem faces in textile technology is breakages
of both warp and weft yarns. This problem not only reduces the production rate, also
decreases the quality of produced fabric. In modern weaving technology, many types of
fabric defects occur during production and they are still detected by human inspection. The
objective of this paper is to describe an effective and accurate method for automatic defect
detection in fabrics. The statistical parameters such as mean, standard deviation, kurtosis,
skewness and histogram representation of fabric images are considered to compare the
fabrics with and without defects using Aphelion Dev software. Morphological techniques are
used for attaining accurate result of defects in fabrics. The result image has been
implemented in open multimedia application platform which enhances the processing speed
of 60ns. This technique is proficient in detecting the defects in fabrics with more precision,
efficacy and with less time.