Studies on the yarn mass parameters determination using Image Processing techniques

Abstract

This paper presents a study on the development of a methodology to automatically determine yarn mass parameters using Image Processing (IP) techniques. The sample images were analyzed and processed through a custom made application developed in LabVIEW from National Instruments using IMAQ Vision Toolkit. The results show that a reliable diameter, mass and yarn faults determination can be obtained using IP techniques. Step-by-step algorithms used to determine yarn mass parameters are described. The presented approach allows improving products quality as well as the possibility of increasing the efficiency of the textile industry.