Review of surface defect detection of steel products based on machine vision
B Tang, L Chen, W Sun, Z Lin - IET Image Processing, 2023 - Wiley Online Library
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. This paper …
based on machine vision has been widely used during the last two decades. This paper …
FDD: a deep learning–based steel defect detectors
Surface defects are a common issue that affects product quality in the industrial
manufacturing process. Many companies put a lot of effort into developing automated …
manufacturing process. Many companies put a lot of effort into developing automated …
Deep ensemble transfer learning-based approach for classifying hot-rolled steel strips surface defects
Over the last few years, advanced deep learning-based computer vision algorithms are
revolutionizing the manufacturing field. Thus, several industry-related hard problems can be …
revolutionizing the manufacturing field. Thus, several industry-related hard problems can be …
Steel surface defect recognition using classifier combination
The quality control of steel products' surface is of utmost importance, where several
inspection techniques and technologies have been proposed over the last few years …
inspection techniques and technologies have been proposed over the last few years …
CNN-based hot-rolled steel strip surface defects classification: a comparative study between different pre-trained CNN models
A Bouguettaya, H Zarzour - The International Journal of Advanced …, 2024 - Springer
During the manufacturing process, hot-rolled steel strip surface defects occur frequently.
These defects cause economic losses and risks in the use of these products. Therefore, it is …
These defects cause economic losses and risks in the use of these products. Therefore, it is …
Improved cross pattern approach for steel surface defect recognition
In steel-making processes, different methods are used for online surface product monitoring.
Such a control has become a necessity to avoid additional costs resulting from the poor …
Such a control has become a necessity to avoid additional costs resulting from the poor …
Assessment of milling condition by image processing of the produced surfaces
N Carbone, L Bernini, P Albertelli, M Monno - The International Journal of …, 2023 - Springer
The digital industrial revolution calls for smart manufacturing plants, ie plants that include
sensors and vision systems accompanied with artificial intelligence and advanced data …
sensors and vision systems accompanied with artificial intelligence and advanced data …
近邻密度辅助模糊优化孪生支持向量机的钢板表面缺陷分类
侯政通， 胡鹰， 乔磊明， 邓志飞 - 计算机集成制造系统, 2024 - cims-journal.cn
为提升钢板表面缺陷分类精度, 提出一种选择性弱化样本的分类模型. 首先,
在图像预处理阶段引入显著性检测算法来减少二值化后图像出现失真的影响; 其次 …
在图像预处理阶段引入显著性检测算法来减少二值化后图像出现失真的影响; 其次 …
Surface flaw classification based on dual cross pattern
The evaluation of flat steel surface quality is mainly concerned with detecting and identifying
product surface defects. Although the variety of the implemented techniques, this type of …
product surface defects. Although the variety of the implemented techniques, this type of …
Nearest neighbor density assisted fuzzy optimized TWSVM for surface defect classification of steel plates
HOU Zhengtong, HU Ying, Q Leiming… - Computer Integrated …, 2024 - cims-journal.cn
To enhance the classification accuracy of steel plate surface defects, a classification model
with selectively weakened samples was proposed. The salient object detection algorithm …
with selectively weakened samples was proposed. The salient object detection algorithm …