Machine vision based systems are increasingly being used in textile quality characterization due to their ability to provide valuable information. The purpose of this study is to review some methodologies of evaluating fiber and yarn using optical devices. Optical and electron microscopes, along with image processing techniques were used to investigate the morphology and cross-sectional shape of electrospun nanofibers. Fibrous web inspection for neps and trash was considered by means of an optical device as well. The use of a CCD camera and image analysis in evaluating yarn quality and characterizing the wicking and wetting behaviors of yarns suggests that the future of the yarn sensors will be in the field of the optical systems. Optical systems provide all information that the conventional systems can give, but they can also provide extra dimensional and geometrical information. In comparison to most other methods, optical methods are quick, inexpensive and precise.
Keywords: Fiber morphology, Image analysis, Machine vision monitoring, Microscopy, Yarn quality parameters