APPLICATION OF MOTTLE AND GRAININESS ALGORITHMS FOR NANO-WEB UNIFORMITY EVALUATION

Large-scale production of Nano fibres requires quality control. Uniformity in fibrous structures plays an important role in defining appearance, performance, etc. For example, in filtration processes, web performance is largely dependent on the uniformity of the web. In this paper, image analysis method based on mottle and graininess algorithms for Nano-web uniformity measurement was proposed. An appropriate computer program based on ISO-13660 standard mottle and graininess algorithms was developed and uniformity of the Black and White images were measured. Image processing algorithm is applied on two types of images: simulated and real Nano-web images. The result indicates that the attempt to use the mottle and graininess algorithms for determining Nano-web uniformity measurement has been successful. Also, inverse of graininess are reasonably good in evaluating uniformity of Nano-web. This method has capability of being used as on-line technique for quality control of Nano-web uniformity.