This article proposes a fabric structure defect detection method based on the vision-based
tactile sensor. The result will be robust by using the tactile sensor regardless of dyeing …

With the development of science and technology and the progress of the times, automation
and intelligence have been popularized in manufacturing in all walks of life. With the …

Over the past 15 years, many feature extraction methods have been used and developed for
the recognition of plant species. These methods have mostly been performed using …

In textile industry, defect detection plays a vital role in diagnosing and improving the
process. However, fabric defect detection is a process performed by the human eye, as …

The surface defect detection of industrial products has become a crucial link in industrial
manufacturing. It has a series of chain effects on the control of product quality, the safety of …

Defect detection is one of the key steps in quality control in manufacturing industries.
Distinguishing unwanted defects and acceptable deformation for non-rigid products with …

In modern days the detection of defects in textile industries using digital image processing
techniques is an emerging area of research. The faulty fabric is subjected to several image …

Fabrics play a pivotal role in human life and production, and surface defects can directly
affect the quality and value of fabrics. Many methods for fabric defect detection have been …

Image processing has been employed in a variety of fields since the advent of image
processing techniques. One of these fields is textiles. The existence of any defect in a fabric …

This research presents an approach aimed at enhancing texture recognition and weaving
parameter estimation in the textile industry to align with sustainability goals and improve …