In this paper, a bag of tricks is proposed to improve the precision of fabric defect detection.
Although the general state-of-the-art convolutional neural network detection algorithm can …

Fabric pilling is considered a performance and aesthetic property of the woven products that
determine its quality. The subjective evaluation of the fabric pilling results in misleading …

The evaluation of yarn surface appearance is an important routine in assessing yarn quality
in textile industry. Traditionally, this evaluation is subjectively carried out by manual …

A new objective fabric pilling grading method based on wavelet texture analysis was
developed. The new method created a complex texture feature vector based on the wavelet …

A pilled fabric image consists of sub‐images of different frequency components, and the
fabric texture and the pilling information are in different frequency bands. Interference from …

Purpose The paper aims to build a new objective evaluation method of fabric pilling by
combining an integrated image analysis technology with a deep learning algorithm …

An objective pilling evaluation method based on the multi-scale two-dimensional dual-tree
complex wavelet transform and linear discriminant function of Bayes' Rule was developed …

A new approach to pilling evaluation based on the wavelet reconstruction scheme using
undecimated discrete wavelet transform (UDWT), which is shift-invariant and redundant, was …

A new objective fabric pilling evaluation method based on wavelet transform and the local
binary pattern (LBP) is developed. The surface pills are identified from the high-frequency …

In this paper we present a new approach to the problem of textile surface quality evaluation.
The approach is based on the capture and analysis of the profile of protrusions. The specific …