The performance of the proposed approach is evaluated by using three different datasets of fabric images with different types of fabric defects. Experimental results demonstrate the proposed approach is efficient and effective for detecting defects in flawed fabric in real time. As a result, obtaining...
Milling Defects 1. Yarn defects in the fabric i. Barre ii. Broken Filaments iii. Coloured Flecks iv. Knots v. Slub vi. Spirality Related Article:List of 100+ garment defects with images 2. Weaving defects These defects are those which occur due to the process of weaving. The different wea...
In this paper, a novel AFI method is proposed to identify fabric defects based on the defect-free fabric images. Because the defective samples are assumed unavailable, LSLT method is derived purely based on the defect-free samples. For a given fabric image, with the LSLT method, the image...
To reduce labor costs for manual extract image features of yarn-dyed fabric defects, a method based on YOLOV2 is proposed for yarn-dyed fabric defect automatic localization and classification. First, 276 yarn-dyed fabric defect images are collected, preprocessed and labelled. Then, YOLO9000, YOLO...
Detecting defects morpholog ically on spatially filtered images of fabrics produces better results, particularly when the fabric is fine and contains defects of small size. The diffraction pattern of the test fabric is obtained optically by illuminating it with a collimated laser beam. A spatial ...
Li, Y., Zhao, W., Pan, J.: Deformable patterned fabric defect detection with fisher criterion-based deep learning. IEEE Trans. Autom. Sci. Eng.14(2), 1256–1264 (2017) ArticleGoogle Scholar Kumar, A.: Neural network based detection of local textile defects. Pattern Recogn.36(7), 1645...
A method based on the angular correlation of the Fourier spectra of fabric images is proposed to automatically evaluate web resistance to abrasion. NG Titrek 被引量: 0发表: 2016年 Detection of Fabric Defects by Auto-Regressive Spectral Analysis and Support Vector Data Description Bu H G,Huang ...
CT Yiakopoulos,KC Gryllias,IA Antoniadis - 《Expert Systems with Applications》 被引量: 154发表: 2011年 Rail defect diagnosis using wavelet packet decomposition One of the basic tasks in railway maintenance is inspection of the rail in order to detect defects. Rail defects have different propertie...
Fabric defect detection plays an important role in the quality control of fabric products. In order to effectively detect defects for fabric images with numerous kinds of defects and complex texture, a novel fabric defect detection algorithm based on mul
Discussion and comparison with some previous works are given in Section 5.3. 5.1. Dataset The dataset used in this work is provided by PARTNER textile industry in Tunisia [30]. The dataset consists of 89 images, of which 13 have no defects and 76 have various fabric defects. The total ...