A computer vision approach for textile quality control

نویسندگان

  • Christos Anagnostopoulos
  • Dimitrios D. Vergados
  • Eleftherios Kayafas
  • Vassilis Loumos
  • George I. Stassinopoulos
چکیده

Textile manufacturers have to monitor the quality of their products in order to maintain the high-quality standards established for the clothing industry. Thus, textile quality control is a key factor for the increase of competitiveness of their companies. Textile faults have traditionally been detected by human visual inspection. However, human inspection is time consuming and does not achieve a high level of accuracy. Therefore, industrial vision units are of strategic interest for the textile industry as they could form the basis of a system achieving a high degree of accuracy on textile inspection. This work describes the software core of a system designed for fabric inspection on the basis of simple imageprocessing operations as well as its efficiency on detection of usual textile defects. The prerequisites of the overall system are then discussed analytically, as well as the limitations and the restrictions imposed due to the nature of the problem. The software algorithm and the evaluation of the first results are also presented in details. Copyright # 2001 John Wiley & Sons, Ltd.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Computer assisted instruction during quarantine and computer vision syndrome

Computer vision syndrome (CVS) is a set of visual, ocular, and musculoskeletal symptoms that result from long-term computer use. These symptoms include eyestrain, dry eyes, burning, pain, redness, blurred vision, etc, which increase with the duration of computer use. Currently, with the closure of schools and universities due to the continued COVID19 pandemic many universities have taken the pr...

متن کامل

Identification of Textile Defects Based on GLCM and Neural Networks

In modern textile industry, Tissue online Automatic Inspection (TAI) is becoming an attractive alternative to Human Vision Inspection (HVI). HVI needs a high level of attention nevertheless leading to low performance in terms of tissue inspection. Based on the co-occurrence matrix and its statistical features, as an approach for defects textile identification in the digital image, TAI can poten...

متن کامل

An Advanced and Automated Neural Network based Textile Defect Detector

All textile industries aim to produce competitive fabrics. The competition enhancement depends mainly on productivity and quality of the fabrics produced by each industry. In the textile sector, there have been an enlarge amount of losses due to faulty fabrics. In the Least Development Countries (LDC) like Bangladesh, whose 25% revenue earning is achieved from textile export, most defects arisi...

متن کامل

Visual Torch Position Control Using Fuzzy-Servoing Controller for Arc Welding Process

In this paper, we propose a fuzzy-servoing controller method for automatic welding. The proposed method uses a vision based arc tracking to find the initial points of the weld seam and to track them without a prior knowledge. Due to a serious melt down in the weld pool during the welding process, the method requires to control the welding torch in two directions, up-down and left-right directio...

متن کامل

A Vision System for Textile Fabric Defect Detection

Existent industrial applications of computer vision systems are directly connected to quality assurance requirements. The task of fabric defect detection is carried out by human visual inspection, in most of the traditional textile industry. The possibility of automated defect detection is investigated and a solution leading to improved productivity and high quality in the weaving process is pr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Journal of Visualization and Computer Animation

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2001