Software image defect detection of full-fashioned textures in textile industry

The purpose of the research is to detect defects in textile industry using computer vision and fuzzy logic techniques. The paper presents various practices used for edge detection, including a fuzzy logic applied. By testing, a fuzzy logic method has been chosen to obtain a respectable result. The a...

Full description

Saved in:
Bibliographic Details
Main Authors: Zatonskiy, Andrey, Varlamova, Svetlana, Beknazarova, Saida, Gorbunova, Tatiana, Alutin, Petr, Belozerov, Oleg, Bazhenov, Ruslan
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Color
Computer vision
Defects
Edge detection
Fabrics
Fuzzy logic
Textile industry
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The purpose of the research is to detect defects in textile industry using computer vision and fuzzy logic techniques. The paper presents various practices used for edge detection, including a fuzzy logic applied. By testing, a fuzzy logic method has been chosen to obtain a respectable result. The algorithm that is observed in the paper is improved by dividing the processing into two phases: a fast one, which allows us to assume that there is a defect, and a searching one, which allows a defect to be highlighted in color. The advanced algorithm was tested on several types of fabrics. An average background arrangement is obtained for them. That allows separating fabric texture and color from potential defects. The tests were also performed on fabrics (cloths) with different brightness, number and type of defects. We obtained the percentage ratios of the defect detection quality and so we suggested the ways to develop the system.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0192867