Depth-wise Squeeze and Excitation Block-based Efficient-Unet model for surface defect detection
Detection of surface defects in manufacturing systems is crucial for product quality. Detection
of surface defects with high accuracy can prevent financial and time losses. Recently, efforts …
of surface defects with high accuracy can prevent financial and time losses. Recently, efforts …
Fabric defect detection based on separate convolutional UNet
L Cheng, J Yi, A Chen, Y Zhang - Multimedia Tools and Applications, 2023 - Springer
Defect detection in the textile industry is an important and demanding task. Traditional
methods rely on manual inspection, which is costly and damaging to the fabric. The deep …
methods rely on manual inspection, which is costly and damaging to the fabric. The deep …
An efficient scheme for the detection of defective parts in fabric images using image processing
Textile industries play a major role in the growth of the economy of developing and
developed countries. The faulty parts in the fabric are the main problem for the textile …
developed countries. The faulty parts in the fabric are the main problem for the textile …
Deep learning based classification of military cartridge cases and defect segmentation
The final stage of the production process in the industry is quality control. Quality control
answers the question of is there a defect on the surface of the products. Frequently the …
answers the question of is there a defect on the surface of the products. Frequently the …
Zero-defect manufacturing in the textile industry: a review of current advances and challenges
Y Xu, R Sun, C Zhi, Z Liu, J Chen… - Textile Research …, 2024 - journals.sagepub.com
With the Fourth Industrial Revolution (Industry 4.0) and advances in digital technology, zero-
defect manufacturing (ZDM) has become a transformative and attractive concept that has the …
defect manufacturing (ZDM) has become a transformative and attractive concept that has the …
Defect Recognition and Morphology Operation in Binary Images Using Line-Scanning-Based Induction Thermography
S Lee, Y Chung, W Kim - Applied Sciences, 2022 - mdpi.com
Active infrared thermography is an attractive and highly reliable technique used for the non-
destructive evaluation of test objects. In this paper, defect detection on the subsurface of the …
destructive evaluation of test objects. In this paper, defect detection on the subsurface of the …
FabricNET: a microscopic image dataset of woven fabrics for predicting texture and weaving parameters through machine learning
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 …
parameter estimation in the textile industry to align with sustainability goals and improve …
[HTML][HTML] Feature selection of gray-level Cooccurrence matrix using genetic algorithm with Extreme learning machine classification for early detection of Pole roads
Land transportation accidents are a severe problem in Indonesia. Factors that cause land
transportation accidents include driver negligence, not road-worthy vehicles, and damaged …
transportation accidents include driver negligence, not road-worthy vehicles, and damaged …
[PDF][PDF] Analysis of color features performance using support vector machine with multi-kernel for batik classification.
Indonesia is a country with a diverse cultural heritage, especially related to traditional fabrics
originating from various regions. Sarong and Batik are traditional fabrics from Indonesia …
originating from various regions. Sarong and Batik are traditional fabrics from Indonesia …
Saliency-based fabric defect detection via bag-of-words model
Fabric defect detection is a very crucial and challenging problem. A novel saliency-based
fabric defect detection via bag-of-words model framework is suggested to solve this problem …
fabric defect detection via bag-of-words model framework is suggested to solve this problem …