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In this paper, we propose a machine vision algorithm for automatically detecting defects in patterned textures with the help of gradient space and its energy. Experiments on real fabric images with defects show that the proposed method can…

Computer Vision and Pattern Recognition · Computer Science 2014-03-11 V. Asha , N. U. Bhajantri , P. Nagabhushan

Automatic defect detection is a challenging task because of the variability in texture and type of fabric defects. An effective defect detection system enables manufacturers to improve the quality of processes and products. Automation…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Samit Chakraborty , Marguerite Moore , Lisa Parrillo-Chapman

This paper introduces a new type of system for fabric defect detection with the tactile inspection system. Different from existed visual inspection systems, the proposed system implements a vision-based tactile sensor. The tactile sensor,…

Robotics · Computer Science 2023-01-18 Bin Fang , Xingming Long , Yifan Zhang , GuoYi Luo , Fuchun Sun , Huaping Liu

Additive manufacturing, particularly fused deposition modeling, is transforming modern production by enabling rapid prototyping and complex part fabrication. However, its layer-by-layer process remains vulnerable to faults such as nozzle…

Signal Processing · Electrical Eng. & Systems 2026-02-19 Muhammad Fasih Waheed , Shonda Bernadin , Ali Hassan

Fabric defect detection is a crucial quality control step in the textile manufacturing industry. In this article, machine vision system based on the Sylvester Matrix Based Similarity Method (SMBSM) is proposed to automate the defect…

Computer Vision and Pattern Recognition · Computer Science 2021-01-22 R. M. L. N. Kumari , G. A. C. T. Bandara , Maheshi B. Dissanayake

In garment manufacturing, an automatic sewing machine is desirable to reduce cost. To accomplish this, a high speed vision system is required to track fabric motions and recognize repetitive weave patterns with high accuracy, from a micro…

Image and Video Processing · Electrical Eng. & Systems 2018-12-12 Yuting Hu , Zhiling Long , Ghassan AlRegib

An automated and accurate fabric defect inspection system is in high demand as a replacement for slow, inconsistent, error-prone, and expensive human operators in the textile industry. Previous efforts focused on certain types of fabrics or…

Computer Vision and Pattern Recognition · Computer Science 2022-04-21 Hao Zhou , Yixin Chen , David Troendle , Byunghyun Jang

Industrial defect segmentation is critical for manufacturing quality control. Due to the scarcity of training defect samples, few-shot semantic segmentation (FSS) holds significant value in this field. However, existing studies mostly apply…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Tongkun Liu , Bing Li , Xiao Jin , Yupeng Shi , Qiuying Li , Xiang Wei

This paper presents a CAD-based approach for automated surface defect detection. We leverage the a-priori knowledge embedded in a CAD model and integrate it with point cloud data acquired from commercially available stereo and depth…

Computer Vision and Pattern Recognition · Computer Science 2025-01-31 Matteo Dalle Vedove , Matteo Bonetto , Edoardo Lamon , Luigi Palopoli , Matteo Saveriano , Daniele Fontanelli

Quality control at each stage of production in textile industry has become a key factor to retaining the existence in the highly competitive global market. Problems of manual fabric defect inspection are lack of accuracy and high time…

Computer Vision and Pattern Recognition · Computer Science 2014-05-26 Md. Tarek Habib , Rahat Hossain Faisal , M. Rokonuzzaman , Farruk Ahmed

This paper describes a prototype software and hardware platform to provide support to field operators during the inspection of surface defects of non-metallic pipes. Inspection is carried out by video filming defects created on the same…

Machine Learning · Computer Science 2022-12-12 Fabio Cacciatori , Sergei Nikolaev , Dmitrii Grigorev

Industrial surface defect detection often suffers from limited defect samples, severe long-tailed distributions, and difficulties in accurately localizing subtle defects under complex backgrounds. To address these challenges, this paper…

Artificial Intelligence · Computer Science 2026-04-22 Shuo Feng , Runlin Zhou , Yuyang Li , Guangcan Liu

Recent advances in the industrial inspection of textured surfaces-in the form of visual inspection-have made such inspections possible for efficient, flexible manufacturing systems. We propose an unsupervised feature memory rearrangement…

Computer Vision and Pattern Recognition · Computer Science 2022-06-23 Haiming Yao , Wenyong Yu , Xue Wang

Utilizing optical fibers to detect and pinpoint vibrations, Distributed Optical Fiber Vibration Sensing (DVS) technology provides real-time monitoring and surveillance of wide-reaching areas. This field has been leveraging Convolutional…

Signal Processing · Electrical Eng. & Systems 2023-08-10 Zhongyao Luo , Zhao Ge , Hao Wu , Ming Tang

Feature embedding-based methods have shown exceptional performance in detecting industrial anomalies by comparing features of target images with normal images. However, some methods do not meet the speed requirements of real-time inference,…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Donghyeong Kim , Chaewon Park , Suhwan Cho , Sangyoun Lee

Fabric defect detection confronts two fundamental challenges. First, conventional non-maximum suppression disrupts gradient flow, which hinders genuine end-to-end learning. Second, acquiring pixel-level annotations at industrial scale is…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Zhengyang Lu , Bingjie Lu , Weifan Wang , Feng Wang

To ensure energy efficiency and reliable operations, it is essential to monitor solar panels in generation plants to detect defects. It is quite labor-intensive, time consuming and costly to manually monitor large-scale solar plants and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Muhammad Junaid Asif , Muhammad Saad Rafaqat , Usman Nazakat , Uzair Khan , Rana Fayyaz Ahmad

Current system thermal-hydraulic codes have limited credibility in simulating real plant conditions, especially when the geometry and boundary conditions are extrapolated beyond the range of test facilities. This paper proposes a…

Machine Learning · Computer Science 2020-01-14 Han Bao , Nam Dinh , Linyu Lin , Robert Youngblood , Jeffrey Lane , Hongbin Zhang

Generating realistic clothing for virtual applications like online retail and digital avatars is crucial but requires expert knowledge of 3D tools to generating believable simulations. Recently, a number of works proposed to estimate cloth…

Graphics · Computer Science 2026-05-12 Egor Larionov , Marie-Lena Eckert , Katja Wolff , Tuur Stuyck

Manufacturers struggle to produce low-cost, robust and complex components at manufacturing lot-size one. Additive processes like Fused Filament Fabrication (FFF) inexpensively produce complex geometries, but defects limit viability in…

Image and Video Processing · Electrical Eng. & Systems 2019-11-14 Joshua E. Siegel , Maria F. Beemer , Steven M. Shepard
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