A Computer Vision Approach for Textile Inspection-Reference-Cited by-同舟云学术

A Computer Vision Approach for Textile Inspection

Published:2000-04 Issue:4 Volume:70 Page:347-350
ISSN:0040-5175
Container-title:Textile Research Journal
language:en
Short-container-title:Textile Research Journal

Author:

Conci A.¹,Proença C.B.¹

Affiliation:

1. Applied Computing and Automation, Department of Mechanical Engineering, Federal Fluminense University, Niterói, Brazil

Abstract

The economic viability of a weaving plant is significantly influenced by its efficiency in eliminating fabric faults. Textile faults have traditionally been detected by human visual inspection, but it is time consuming and does not achieve a high degree of accuracy. Mechanisms with automatic operation are much better. Industrial vision systems may form the basis of a method with a very high degree of accuracy for textile inspection. This work presents a simple system designed for fabric inspection and shows its efficiency in detecting twelve kinds of common defects. The results show that the success of system implementation depends on the choice of the specific approach.

Publisher

SAGE Publications

Subject

Polymers and Plastics,Chemical Engineering (miscellaneous)

Link

http://journals.sagepub.com/doi/pdf/10.1177/004051750007000411

Reference7 articles.

1. A fractal image analysis system for fabric inspection based on a box-counting method

2. Machine vision technology for the forest products industry

3. Texture Discrimination for Quality Control Using Wavelet and Neural Network Techniques

4. Automatic Detection of Defects on Birch Wood Boards

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