Results 11 to 20 of about 122,426 (260)
Review of surface defect detection of steel products based on machine vision
Steel plays an important role in industry, and the surface defect detection for steel products based on machine vision has been widely used during the last two decades.
Bo Tang +3 more
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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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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
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DG-GAN: A High Quality Defect Image Generation Method for Defect Detection
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
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Swin Transformer Combined with Convolution Neural Network for Surface Defect Detection
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
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A Sensor System for Detection of Hull Surface Defects [PDF]
This paper presents a sensor system for detecting defects in ship hull surfaces. The sensor was developed to enable a robotic system to perform grit blasting operations on ship hulls. To achieve this, the proposed sensor system captures images with the help of a camera and processes them in real time using a new defect detection method based on ...
Pedro J. Navarro +4 more
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Vision-Based System for Black Rubber Roller Surface Inspection
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
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Detection of Surface Defects in Ceramic Tiles With Complex Texture
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
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TSDNet: A New Multiscale Texture Surface Defect Detection Model
Industrial defect detection methods based on deep learning can reduce the cost of traditional manual quality inspection, improve the accuracy and efficiency of detection, and are widely used in industrial fields.
Min Dong +3 more
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Surface Defect Detection using Hierarchical Features [PDF]
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 0001 +4 more
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