Results 11 to 20 of about 326,783 (293)
Surface Defect Detection using Hierarchical Features [PDF]
2019 IEEE 15th International Conference on Automation Science and Engineering (CASE), 2019 In this paper, we propose an instance level hierarchical features based convolution neural network model (H-CNN) for detecting surface defects. The H-CNN uses different convolutional layers’ extracted features to generate defect masks. The H-CNN first generates proposal regions.
Ling Xiao +4 more
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Materials Research Express, 2022 In phased array ultrasonic sector scanning testing, echoes from defects near the detection surface are often overlapped with interface echoes and cannot be characterized.
Yukuo Tian +6 more
doaj +1 more source
Applied Sciences, 2022 Steel surface defect detection is challenging because it contains various atypical defects. Many studies have attempted to detect metal surface defects using deep learning and had success in applying deep learning.
Mansi Sharma, Jongtae Lim, Hansung Lee
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DG-GAN: A High Quality Defect Image Generation Method for Defect Detection
Sensors, 2023 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 the subsequent use of products, the reputation of products, and ...
Xiangjie He +4 more
doaj +1 more source
Swin Transformer Combined with Convolution Neural Network for Surface Defect Detection
Machines, 2022 Surface defect detection aims to classify and locate a certain defect that exists in the target surface area. It is an important part of industrial quality inspection.
Yinghao Li +4 more
doaj +1 more source
Deep Active Learning for Surface Defect Detection [PDF]
Sensors, 2020 Most of the current object detection approaches deliver competitive results with an assumption that a large number of labeled data are generally available and can be fed into a deep network at once. However, due to expensive labeling efforts, it is difficult to deploy the object detection systems into more complex and challenging real-world ...
Xiaoming Lv +4 more
openaire +3 more sources
Phased electromagnetic acoustic transducer array for Rayleigh wave surface defect detection [PDF]
, 2020 A phased electromagnetic acoustic transducer (EMAT) array system has been developed for detection and characterisation of surface breaking defects. An array of four linear coils which are individually controlled are used to generate a Rayleigh wave.
Dixon, S. +3 more
core +1 more source
Vision-Based System for Black Rubber Roller Surface Inspection
Applied Sciences, 2023 This paper proposes a machine vision system for the surface inspection of black rubber rollers in manufacturing processes. The system aims to enhance the surface quality of the rollers by detecting and classifying defects.
Thanh-Hung Nguyen +6 more
doaj +1 more source
Ensemble model for rail surface defects detection
PLOS ONE, 2022 The detection of rail surface defects is vital for high-speed rail maintenance and management. The CNN-based computer vision approach has been proved to be a strong detection tool widely used in various industrial scenarios. However, the CNN-based detection models are diverse from each other in performance, and most of them require sufficient training ...
Hailang Li +5 more
openaire +3 more sources
Detection of Surface Defects in Ceramic Tiles With Complex Texture
IEEE Access, 2021 To solve the problem of false defect detection owing to the interference of the texture attribute of ceramic tiles, a method for detecting surface defects in complex-textured ceramic tiles is proposed.
Huailiang Zhang +3 more
doaj +1 more source