Objective yarn bulk measurement through image analysis

• Published in: Journal of the Textile Institute Vol. 102; no. 12; pp. 1094 - 1100
• Main Authors: Behtaj, Sanaz, Sadri, Said, Tavanai, Hossein
• Format: Journal Article
• Language: English
• Published: Manchester Taylor & Francis Group 01.12.2011; Taylor & Francis Ltd
• Subjects: adaptive threshold; image analysis; intensity histogram; mathematical morphology; yarn bulk measurement
• ISSN: 0040-5000; 1754-2340
• DOI: 10.1080/00405000.2010.542013

A novel objective yarn bulk measurement method has been developed through image analysis technique. Two orthogonal images are taken from the same part of a yarn and then transformed into gray scale. Each gray scale image is further processed separately by extracting the yarn image from background with the help of intensity histogram using adaptive threshold. This gives rise to a binary image which is used as input for the second part of the algorithm measuring yarn volume. The processing on the input image starts with omitting the long rare loops, considered as noise, by morphological operations. This is followed by measuring the width of the two orthogonal images pixel by pixel along the yarn. Finally, the total volume of the yarn is ascertained by integrating the volume of all the individual imaginary ovals with their two diameters replaced by the two widths of orthogonal images at the corresponding pixel.